CETpD-UPC -Tech. Research Cen.for Dependency Care and Autonom Liviving
Total activity: 1288
Type
Research group
Type of group
Specific research center
Acronym
CETpD-UPC
Address
Rambla de l'Exposició, 61-69 Edifici NEAPOLIS Pl.2 Open in new window
City
Vilanova i la Geltrú
URL
http://www.epsevg.upc.edu/cetpd//index.php Open in new window
Objectives
CETpD's main research goal consists in the knowledge creation within the field of technology addressed to the dependency care area. In this way, the main interest is to improve the quality of life of people with dependency care assistance needs. Particularly, one of the main objectives relies on searching for new paradigms related to human movement analysis, usability and social robotics. CETpD directly cooperates with clinicians from several hospitals around Barcelona and some hospitals along Europe, developing research activities and projects in the dependency care area.

CETpD main research lines are:

Ambient Assisted Living and Pervasive Computing: create smart devices for both home and ambulatory monitoring of elderly people and patients with chronic diseases with tele-medicine and tele-care needs in order to assess gait, balance and falls. In this sense, CETpD has developed a wearable measurement unit for long-term monitoring of human movement. This measurement unit is being used to analyze human movement in the dependency care field.
Computational paradigms: develop soft-computing models, machine learning techniques and pervasive computing approaches addressed to the dependency care area.
Epidemiologic studies: CETpD performs, together with medical centers, clinical and epidemiologic studies on gait pathologies with the aim of knowing its causes and find new therapies that help to prevent its consequences in an effective way.
Social robotics: The priorities of this research line are three: (1) to develop new architectures of control and forms of signal processing which the robots allow to capture knowledge and being cognitive through the human-machine interaction; (2) to research in the more suitable forms of interaction, so they are motivating and satisfying for the user; and (3) to develop in an effective way robotic systems that are capable of supplying with personalised individual assistance to people with dependence (permanent, rehabilitation or convalescence).
Keywords
Inertial sensors, Intelligent algorithms, Motor symptoms, Parkinson's disease, REMPARK info, Smartphone, Wearable devices

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1 to 50 of 1288 results
  • Efficient multiprocessing architectures for Spiking Neural Network emulation based on configurable devices

     Sanchez Rivera, Giovanny
    Department of Electronic Engineering, Universitat Politècnica de Catalunya
    Theses

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    L'estudi de la dinàmica de les xarxes neuronals bio-inspirades ha permès als neurocientífics entendre alguns processos i estructures del cervell . Les implementacions electròniques d'aquestes xarxes neuronals són eines útils per dur a terme aquest tipus d'estudi . No obstant això, l'alta complexitat de les xarxes neuronals requereix d'una arquitectura apropiada que pugui simular aquest tipus de xarxes. Emular aquest tipus de xarxes en dispositius configurables és possible a causa del seu extraordinari desenvolupament respecte a la seva disponibilitat de recursos, velocitat i capacitat de reconfiguració (FPGAs ) .En aquesta tesi es proposa una arquitectura maquinari paral · lela i configurable per emular les complexes i realistes xarxes neuronals tipus spiking en temps real . S'han estudiat i analitzat alguns models de neurones tipus spiking rellevants i les seves implementacions en maquinari , amb la finalitat de crear una arquitectura que suporti la implementació d'aquests models de manera eficient .S'han tingut en compte diversos factors clau, incloent flexibilitat en la programació d'algorismes, processament d'alt rendiment, baix consum d'energia i àrea. S'han aplicat diverses tècniques en l'arquitectura desenvolupada amb el propòsit d'augmentar la seva capacitat de processament. Aquestes tècniques són: mapejat de temps a espai, virtualització de les neurones, mapeig flexible de neurones i sinapsis, modes d'execució, i aprenentatge específic, entre d'altres. A més, s'ha desenvolupat una unitat d'interfície de dades per tal de construir un sistema bio-inspirat, que pot processar informació sensorial del medi ambient. Aquest sistema basat en neurones tipus spiking combina implementacions analògiques i digitals. S'han desenvolupat diverses aplicacions usant aquest sistema com a prova de concepte, per tal de mostrar les capacitats de l'arquitectura proposada per al processament d'aquest tipus d'informació.

  • Unifying interaction across distributed controls in a smart environment : Using anthropology-based computing to make human-computer interaction "Calm"

     Brown, John Neal Abram
    DOI: 10.13140/2.1.5166.4645
    Alpen-Adria-Universität Klagenfurt
    Theses

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    Rather than adapt human behavior to suit a life surrounded by computerized systems, is it possible to adapt the systems to suit humans? Mark Weiser called for this fundamental change to the design and engineering of computer systems nearly twenty years ago. We believe it is possible and offer a series of related theoretical developments and practical experiments designed in an attempt to build a system that can meet his challenge without resorting to black box design principles or Wizard of Oz protocols. This culminated in a trial involving 32 participants, each of whom used two different multimodal interactive techniques, based on our novel interaction paradigm, to intuitively control nine distributed devices in a smart home setting. The theoretical work and practical developments have led to our proposal of seven contributions to the state of the art.

  • Reconeixement del Consell Social UPC als guardonats durant l'any 2013

     Cabestany Moncusi, Joan; Català Mallofré, Andreu
    Award or recognition

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    Mood boards as a universal tool for investigating emotional experience  Open access

     Huang-Ming, Chang; Diaz Boladeras, Marta; Català Mallofré, Andreu; Chen, Wei; Rauterberg, Mattias
    Lecture notes in computer science
    Vol. 8520 Design, User Experie, p. 220-231
    DOI: 10.1007/978-3-319-07638-6_22
    Date of publication: 2014-04-03
    Journal article

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    Emotion is an essential part of user experience. While researchers are striving for new research tools for evaluate emotional experiences in design, designers have been using experience-based tools for studying emotions in practice, such as mood boards. Mood boards were developed for communicating emotional qualities between designers and clients, but have not yet been considered as an evaluation tool for investigating emotional experience. In this study we examined whether design students and non-design students have similar criteria in evaluating these mood boards. The results showed that the inter-rater reliability among all participants were considerably high, which suggested that mood boards are potential to be used as an evaluation tool for research on emotion.

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    Enacting archetypes in movies: grounding the unconscious mind in emotion-driven media  Open access

     Huang-Ming, Chang; Ivonin, Leonid; Diaz Boladeras, Marta; Català Mallofré, Andreu; Chen, Wei; Rauterberg, Mattias
    Digital creativity (Exeter)
    DOI: 10.1080/14626268.2014.939985
    Date of publication: 2014-08-13
    Journal article

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    The concept of emotion-driven media integrates affective computing into developing new types of digital media by including the human spectator as an essential part of the whole system. Enactive media, as a landmark in this direction, PROVIDES a theoretical basis that is rooted in the enactivist approach in cognitive science. Based on this thesis, it is required to establish a practical procedure for developing the media content through integrating psychological approaches. We demonstrate a systematic approach for developing the content for emotion-driven media. The theory of archetypes, one of the psychoanalytical approaches, was applied for editing movie clips as the media content, and coupled the content with emotional responses by using experimental psychological methodologies. The results showed that it is promising to utilise archetypal movie clips as the content of emotion-driven media and archetypal symbolism can be a useful resource for developing the content of media systems.

  • Speech scrambling based on imitation of a target speech signal with non-confidential content

     Ballesteros Larrotta, Dora Maria; Moreno Arostegui, Juan Manuel
    Circuits systems and signal processing
    Vol. 33, num. 11, p. 3475-3498
    DOI: 10.1007/s00034-014-9810-9
    Date of publication: 2014-05-15
    Journal article

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    This paper shows a new approach of speech scrambling using imitation to produce a scrambled speech signal with intelligible content. The secret message imitates a target speech signal with non-confidential content through an adaptation mechanism.Unlike the classical approach, the key is not an input of the system because it is created in the adaptation process. Several tests are conducted in order to validate adaptation as an efficient key generator, and the robustness of the scrambled speech signal against signal manipulation attacks. The advantages of our proposal are (1) the scrambled speech signal is an intelligible speech signal so that it does not generate suspicious about the existence of the secret message, (2) the system does not require an external key generator because the elements are permutated according to the adaptation process, (3) the length of the key is long enough so that it guarantees that the key is not found by brute-force attack, and (4) it works with perfect secrecy because the a priori probability of the secret message is the same as the a posteriori probability, given the scrambled speech signal.

  • Unspoken emotions in movies: The basis of emotion-driven storytelling systems

     Chang, Huang-ming; Ivonin, Leonid; Diaz Boladeras, Marta; Català Mallofré, Andreu
    Informatik-Spektrum
    DOI: 10.1007/s00287-014-0823-3
    Date of publication: 2014-07-28
    Journal article

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    Beyond cognition and affect: sensing the unconscious.  Open access

     Ivonin, Leonid; Huang-Ming, Chang; Diaz Boladeras, Marta; Català Mallofré, Andreu; Chen, Wei; Rauterberg, Mattias
    Behaviour & information technology
    DOI: 10.1080/0144929X.2014.912353
    Date of publication: 2014-05-09
    Journal article

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    In the past decade, research on human¿computer interaction has embraced psychophysiological user interfaces that enhance awareness of computers about conscious cognitive and affective states of users and increase their adaptive capabilities. Still, human experience is not limited to the levels of cognition and affect but extends further into the realm of universal instincts and innate behaviours that form the collective unconscious. Patterns of instinctual traits shape archetypes that represent images of the unconscious. This study investigated whether seven various archetypal experiences of users lead to recognisable patterns of physiological responses. More specifically, the potential of predicting the archetypal experiences by a computer from physiological data collected with wearable sensors was evaluated. The subjects were stimulated to feel the archetypal experiences and conscious emotions by means of film clips. The physiological data included measurements of cardiovascular and electrodermal activities. Statistical analysis indicated a significant relationship between the archetypes portrayed in the videos and the physiological responses. Data mining methods enabled us to create between-subject prediction models that were capable of classifying four archetypes with an accuracy of up to 57.1%. Further analysis suggested that classification performance could be improved up to 70.3% in the case of seven archetypes by using within-subject models.

    In the past decade, research on human–computer interaction has embraced psychophysiological user interfaces that enhance awareness of computers about conscious cognitive and affective states of users and increase their adaptive capabilities. Still, human experience is not limited to the levels of cognition and affect but extends further into the realm of universal instincts and innate behaviours that form the collective unconscious. Patterns of instinctual traits shape archetypes that represent images of the unconscious. This study investigated whether seven various archetypal experiences of users lead to recognisable patterns of physiological responses. More specifically, the potential of predicting the archetypal experiences by a computer from physiological data collected with wearable sensors was evaluated. The subjects were stimulated to feel the archetypal experiences and conscious emotions by means of film clips. The physiological data included measurements of cardiovascular and electrodermal activities. Statistical analysis indicated a significant relationship between the archetypes portrayed in the videos and the physiological responses. Data mining methods enabled us to create between-subject prediction models that were capable of classifying four archetypes with an accuracy of up to 57.1%. Further analysis suggested that classification performance could be improved up to 70.3% in the case of seven archetypes by using within-subject models.

  • Quasi-digital front-ends for current measurement in integrated circuits with giant magnetoresistance technology

     De Marcellis, A.; Cubells Beltrán, M. Dolores; Reig Escriva, Abilio Càndid; Madrenas Boadas, Jordi; zadov, Boris; Paperno, Eugene; Cardoso, S.; Freitas, P.P.
    IET circuits, devices and systems
    Vol. 8, num. 4, p. 291-300
    DOI: 10.1049/iet-cds.2013.0348
    Date of publication: 2014-07-01
    Journal article

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    In this study, the authors report on two different electronic interfaces for low-power integrated circuits electric current monitoring through current-to-frequency (I-f) conversion schemes. This proposal displays the intrinsic advantages of the quasi-digital systems regarding direct interfacing and self-calibrating capabilities. In addition, as current-sensing devices, they have made use of the giant magnetoresistance (GMR) technology because of its high sensitivity and compatibility with standard complementary metal oxide semiconductor processes. Single elements and Wheatstone bridges based on spin-valves and magnetic tunnel junctions have been considered. In this sense, schematic-level simulations for integration in Austria Microsystems 0.35 mu m technology have been corroborated by means of experimental measurements with the help of printed circuit board prototypes and real GMR devices. Tables with relevant parameters (silicon area, power consumption, sensitivity etc.) have been constructed as practical tools for designers. Electric currents down to 2 mu A have been resolved in this way.

  • Probability-based dynamic time warping and Bag-of-visual-and-depth-Words for human gesture recognition in RGB-D

     Hernández-Vela, Antonio; Bautista, Miguel Angel; Perez Sala, Xavier; Ponce, Víctor; Escalera, Sergio; Xavier, Baró; Pujol, Oriol; Angulo Bahón, Cecilio
    Pattern recognition letters
    Vol. 50, p. 112-121
    DOI: 10.1016/j.patrec.2013.09.009
    Date of publication: 2014-12
    Journal article

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    We present a methodology to address the problem of human gesture segmentation and recognition in video and depth image sequences. A Bag-of-Visual-and-Depth-Words (BoVDW) model is introduced as an extension of the Bag-of-Visual-Words (BoVW) model. State-of-the-art RGB and depth features, including a newly proposed depth descriptor, are analysed and combined in a late fusion form. The method is integrated in a Human Gesture Recognition pipeline, together with a novel probability-based Dynamic Time Warping (PDTW) algorithm which is used to perform prior segmentation of idle gestures. The proposed DTW variant uses samples of the same gesture category to build a Gaussian Mixture Model driven probabilistic model of that gesture class. Results of the whole Human Gesture Recognition pipeline in a public data set show better performance in comparison to both standard BoVW model and DTW approach.

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    La usabilidad de las interfaces basadas en visión  Open access

     Manresa-Yee, Cristina; Amengual, Esperança; Ponsa Asensio, Pedro
    FAZ
    num. 7, p. 12-31
    Date of publication: 2014-07-24
    Journal article

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    Las interfaces basadas en visión hacen uso de gestos para la comunicación del usuario con el sistema interactivo sin la necesidad de dispositivos que requieran contacto físico. El modelado de gestos suele realizarse en laboratorios y es importante que se lleve a cabo la evaluación de su usabilidad, pero la gran diversidad de usos y aplicaciones de estas interfaces hace que resulte difícil decidir qué factores tener en cuenta cuando se mide la usabilidad. En este artículo se presenta una revisión de la literatura cuyo objetivo es clasificar i recopilar los factores y las métricas de usabilidad que se utilizan para validar las interfaces basadas en visión.

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    Diseño centrado en el usuario para diseñadores industriales  Open access

     Ponsa Asensio, Pedro; Garvin, Kevin; González, Fernanda; Ruegger, Raíssa; Santos, Larissa; Granollers, Antoni; Vilanova Arbós, Ramón
    FAZ
    num. 7, p. 99-119
    Date of publication: 2014-07-24
    Journal article

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    La conexión entre metodologías de la interacción persona-ordenador con métodos tradicionales de diseño es presentada en el contexto del grado de ingeniería del diseño industrial y desarrollo del producto que se imparte en la Escuela Politécnica Superior de Ingeniería de Vilanova i la Geltrú. Un conjunto de asignaturas, un programa de movilidad internacional, profesorado especializado en diseño centrado en el usuario y expertos en entornos industriales y sociales facilitan esta relación. Este trabajo muestra un conjunto de estudios de caso seleccionados que proporciona las claves para la sinergia entre la expleriencia de usuario y el diseño de productos-servicios.

    La conexión entre metodologías de la interacción persona-ordenador con métodos tradicionales de diseño es presentada en el contexto del grado de ingeniería del diseño industrial y desarrollo del producto que se imparte en la Escuela Politécnica Superior de Ingeniería de Vilanova i la Geltrú. Un conjunto de asignaturas, un programa de movilidad internacional, profesorado especializado en diseño centrado en el usuario y expertos en entornos industriales y sociales facilitan esta relación. Este trabajo muestra un conjunto de estudios de caso seleccionados que proporciona las claves para la sinergia entre la experiencia de usuario y el diseño de productos-servicios.

  • LTI ODE-valued neural networks

     Velasco Garcia, Manuel; Martin Rull, Enric Xavier; Angulo Bahón, Cecilio; Marti Colom, Pau
    Applied intelligence
    Vol. 41, num. 2, p. 594-605
    DOI: 10.1007/s10489-014-0548-7
    Date of publication: 2014-05
    Journal article

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    A dynamical version of the classical McCulloch & Pitts¿ neural model is introduced in this paper. In this new approach, artificial neurons are characterized by: i) inputs in the form of differentiable continuous-time signals, ii) linear time-invariant ordinary differential equations (LTI ODE) for connection weights, and iii) activation functions evaluated in the frequency domain. It will be shown that this new characterization of the constitutive nodes in an artificial neural network, namely LTI ODE-valued neural network (LTI ODEVNN), allows solving multiple problems at the same time using a single neural structure. Moreover, it is demonstrated that LTI ODEVNNs can be interpreted as complex-valued neural networks (CVNNs). Hence, research on this topic can be applied in a straightforward form. Standard boolean functions are implemented to illustrate the operation of LTI ODEVNNs. Concluding the paper, several future research lines are highlighted, including the need for developing learning algorithms for the newly introduced LTI ODEVNNs.

    A dynamical version of the classical McCulloch & Pitts’ neural model is introduced in this paper. In this new approach, artificial neurons are characterized by: i) inputs in the form of differentiable continuous-time signals, ii) linear time-invariant ordinary differential equations (LTI ODE) for connection weights, and iii) activation functions evaluated in the frequency domain. It will be shown that this new characterization of the constitutive nodes in an artificial neural network, namely LTI ODE-valued neural network (LTI ODEVNN), allows solving multiple problems at the same time using a single neural structure. Moreover, it is demonstrated that LTI ODEVNNs can be interpreted as complex-valued neural networks (CVNNs). Hence, research on this topic can be applied in a straightforward form. Standard boolean functions are implemented to illustrate the operation of LTI ODEVNNs. Concluding the paper, several future research lines are highlighted, including the need for developing learning algorithms for the newly introduced LTI ODEVNNs.

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    Human centred design considerations for connected health devices for the older adult  Open access

     Harte, Richard P.; Glynn, Liam G.; Broderick, Barry J.; Rodríguez Molinero, Alejandro; Baker, Paul M. A.; McGuiness, Bernadette; O'Sullivan, Leonard; Diaz Boladeras, Marta; Quinlan, Leo R.; ÓLaighin, Gearóid
    Journal of Personalized Medicine
    Vol. 4, num. 2, p. 245-281
    DOI: 10.3390/jpm4020245
    Date of publication: 2014-06-04
    Journal article

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    Connected health devices are generally designed for unsupervised use, by non-healthcare professionals, facilitating independent control of the individuals own healthcare. Older adults are major users of such devices and are a population significantly increasing in size. This group presents challenges due to the wide spectrum of capabilities and attitudes towards technology. The fit between capabilities of the user and demands of the device can be optimised in a process called Human Centred Design. Here we review examples of some connected health devices chosen by random selection, assess older adult known capabilities and attitudes and finally make analytical recommendations for design approaches and design specifications.

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    A survey on model based approaches for 2D and 3D visual human pose recovery  Open access

     Perez Sala, Xavier; Escalera, Sergio; Angulo Bahón, Cecilio; Gonzàlez, Jordi
    Sensors
    Vol. 14, num. 3, p. 4189-4210
    DOI: 10.3390/s140304189
    Date of publication: 2014-03-03
    Journal article

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    Human Pose Recovery has been studied in the field of Computer Vision for the last 40 years. Several approaches have been reported, and significant improvements have been obtained in both data representation and model design. However, the problem of Human Pose Recovery in uncontrolled environments is far from being solved. In this paper, we define a general taxonomy to group model based approaches for Human Pose Recovery, which is composed of five main modules: appearance, viewpoint, spatial relations, temporal consistence, and behavior. Subsequently, a methodological comparison is performed following the proposed taxonomy, evaluating current SoA approaches in the aforementioned five group categories. As a result of this comparison, we discuss the main advantages and drawbacks of the reviewed literature.

  • GSVM: An SVM for handling imbalanced accuracy between classes in bi-classification problems

     Gonzalez Abril, Luis; Núñez Castro, Haydemar; Angulo Bahón, Cecilio; Velasco, Francisco
    Applied soft computing
    Vol. 17, p. 23-31
    DOI: 10.1016/j.asoc.2013.12.013
    Date of publication: 2014-04
    Journal article

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    A new support vector machine, SVM, is introduced, called GSVM, which is specially designed for bi-classification problems where balanced accuracy between classes is the objective. Starting from a standard SVM, the GSVM is obtained from a low-cost post-processing strategy by modifying the initial bias. Thus, the bias for GSVM is calculated by moving the original bias in the SVM to improve the geometric mean between the true positive rate and the true negative rate. The proposed solution neither modifies the original optimization problem for SVM training, nor introduces new hyper-parameters. Experimentation carried out on a high number of databases (23) shows GSVM obtaining the desired balanced accuracy between classes. Furthermore, its performance improves well-known cost-sensitive schemes for SVM, without adding complexity or computational cost.

  • Continuous Generalized Procrustes analysis

     Igual, Laura; Perez Sala, Xavier; Escalera, Sergio; Angulo Bahón, Cecilio; De La Torre, Fernando
    Pattern recognition
    Vol. 47, num. 2, p. 659-671
    DOI: 10.1016/j.patcog.2013.08.006
    Date of publication: 2014-02
    Journal article

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    Two-dimensional shape models have been successfully applied to solve many problems in computer vision, such as object tracking, recognition, and segmentation. Typically, 2D shape models are learned from a discrete set of image landmarks (corresponding to projection of 3D points of an object), after applying Generalized Procustes Analysis (GPA) to remove 2D rigid transformations. However, the standard GPA process suffers from three main limitations. Firstly, the 2D training samples do not necessarily cover a uniform sampling of all the 3D transformations of an object. This can bias the estimate of the shape model. Secondly, it can be computationally expensive to learn the shape model by sampling 3D transformations. Thirdly, standard GPA methods use only one reference shape, which can might be insufficient to capture large structural variability of some objects. To address these drawbacks, this paper proposes continuous generalized Procrustes analysis (CGPA). CGPA uses a continuous formulation that avoids the need to generate 2D projections from all the rigid 3D transformations. It builds an efficient (in space and time) non-biased 2D shape model from a set of 3D model of objects. A major challenge in CGPA is the need to integrate over the space of 3D rotations, especially when the rotations are parameterized with Euler angles. To address this problem, we introduce the use of the Haar measure. Finally, we extended CGPA to incorporate several reference shapes. Experimental results on synthetic and real experiments show the benefits of CGPA over GPA.

  • Observing the use of an input device for rehabilitation purposes

     Manresa-Yee, Cristina; Ponsa Asensio, Pedro; Salinas, Iosune; Perales, Francisco J.; Negre, Francisca; Varona, Javier
    Behaviour & information technology
    Vol. 33, num. 3, p. 270-281
    DOI: 10.1080/0144929X.2013.795607
    Date of publication: 2014-02-26
    Journal article

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    We designed and developed a vision-based computer interface which works with head movements. The system was implemented in a centre for users with cerebral palsy and they used it in contexts related with recreation or with education. During this process, it was observed that the continued use of the interface with a set of training tasks may act as a physical and cognitive rehabilitation tool and complement users¿ rehabilitation therapy. We comment on five case studies of users who have worked with the interface for five months and whose qualitative outcomes, observed by the therapists who accompanied them, were positive; specifically there was improvement in work posture, head control, increased endurance, decreased involuntary movements and improved spatial orientation. The case studies also showed the need to supervise the users¿ work in order to achieve these aims, along with the importance of motivation and active, voluntary participation of users in the rehabilitation process.

  • Realistic model of compact VLSI FitzHugh-Nagumo oscillators

     Cosp Vilella, Jordi; Binczak, Stéphane; Madrenas Boadas, Jordi; Ruiz Fernández, Daniel
    International journal of electronics
    Vol. 101, num. 2, p. 220-230
    DOI: 10.1080/00207217.2013.780263
    Date of publication: 2014-02-01
    Journal article

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    In this article, we present a compact analogue VLSI implementation of the FitzHugh-Nagumo neuron model, intended to model large-scale, biologically plausible, oscillator networks. As the model requires a series resistor and a parallel capacitor with the inductor, which is the most complex part of the design, it is possible to greatly simplify the active inductor implementation compared to other implementations of this device as typically found in filters by allowing appreciable, but well modelled, nonidealities. We model and obtain the parameters of the inductor nonideal model as an inductance in series with a parasitic resistor and a second order low-pass filter with a large cut-off frequency. Post-layout simulations for a CMOS 0.35 m double-poly technology using the MOSFET Spice BSIM3v3 model confirm the proper behaviour of the design. © 2013 Taylor & Francis.

  • Contribución al análisis del movimiento humano aplicado a la identificación de posturas y bloqueos de la marcha en pacientes con Parkinson  Open access

     Rodriguez Martin, Daniel Manuel
    Universitat Politècnica de Catalunya
    Theses

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    La siguiente disertación presenta las aportaciones del autor en el campo de la monitorización del movimiento humano y, especialmente, en la enfermedad del Parkinson. Las recientes tecnologías han permitido desarrollar sensores inerciales de tamaño muy reducido para monitorizar el movimiento humano. En consecuencia, el uso de las llamadas unidades de medida inercial, que consisten en unos dispositivos de pequeño tamaño capaces de medir el movimiento, se ha extendido ampliamente empleándose, entre otros, en campos como la medicina, el deporte, la automoción o los videojuegos. En la primera parte de la presente tesis, se describe el desarrollo de una unidad de medida inercial capaz de adquirir datos con una larga autonomía. La principal novedad aportada consiste en la posibilidad de implementar clasificadores basados en inteligencia artificial en tiempo real a través de un hardware y un firmware diseñados específicamente para que el sistema inercial sea flexible y capaz de implementar las dos operaciones. Esta herramienta se ha validado en diferentes proyectos europeos y diferentes trabajos llevados a cabo en el Centro de Estudios Tecnológicos para la Atención de la Dependencia y la Vida Autónoma de la Universidad Politécnica de Catalunya (CETpD-UPC)En la segunda parte de la tesis se describen dos algoritmos para identificar diferentes tipos de posturas. Los datos empleados para poder desarrollar los algoritmos se han adquirido con el sistema inercial presentado en la primera parte de la tesis. Los algoritmos desarrollados se han validado en personas sanas y en pacientes con la enfermedad del Parkinson. El algoritmo se focaliza en la detección de posturas con un único sistema inercial localizado en la cintura, consiguiendo una mayor comodidad para los usuarios. Una aportación clave es la metodología ofrecida para poder detectar transiciones posturales (movimiento para pasar de una postura a otra) a través de `Máquinas de vectores soporte¿, permitiendo tanto distinguirlas como detectarlas. La detección de transiciones posturales se integra en un sistema jerárquico de clasificación, al cual se añade un detector de actividades básicas donde se identifican posturas estáticas como estar sentado, de pie, o tumbado, y posturas dinámicas, como caminar. En la parte final de la tesis se presenta una aportación a la identificación de uno de los síntomas de la enfermedad del Parkinson más incapacitantes, el bloqueo de la marcha. El algoritmo de posturas se aplica en señales captadas por la unidad inercial descrita en la primera parta de la tesis para complementar a los algoritmos actuales de detección de bloqueos de la marcha. Además, se demuestra cómo los valores de evaluación del algoritmo de detección del bloqueo de la marcha mejoran al aplicar el algoritmo de posturas. De esta forma, se contextualiza el algoritmo, pudiendo discriminar aquellos episodios detectados provocados en situaciones donde no es posible que ocurra un episodio de bloqueo de la marcha.

    The following dissertation presents the contributions of the author in the field of human movement analysis and, specifically, in Parkinson's disease. Recent technologies have allowed developing reduced inertial sensors capable of monitoring human movement. This, along with the reduced prices of these inertial sensors, the so-called inertial measurement units, which consists in small devices capable to measure movement by means of inertial sensors, have widely spread. Inertial measurement units have been employed among others, in fields such as medicine, sports, automotive and gaming. In the first part of the present thesis, a wearable long-term monitoring inertial measurement unit is presented as the first main contribution in human movement analysis. The unit is capable of acquiring data and provides the possibility of implementing artificial intelligence-based classifiers in real time. A specific hardware and firmware has been developed in order to implement both operations. This tool has been validated in different European projects and studies carried out in the Technical Research Centre for Dependency Care and Autonomous Living of the Universitat Politècnica de Catalunya (CETpD-UPC). The second part of the thesis addresses the analysis of human posture based on accelerometry measurements. To this end, data acquired from the inertial system described at the first part of the thesis have been used. Two methodologies are presented that have been validated on healthy people and patients with Parkinson's disease. The algorithms developed are focused on the detection of positions with a single inertial system located at the waist thereby achieving an enhanced comfort and acceptance by the users. A key contribution is the methodology provided to detect postural transitions, which consist in the movement performed to achieve a position from another one. The algorithm is based on support vector machines applied to the inertial data coming from a single measurement unit. Basic activity recognition is performed recognizing static postures such as sitting, standing, or lying with a hierarchical classification system. Moreover, dynamic postures such as walking and different postural transitions are also recognized. Finally, the posture detection methodologies are employed to enhance the identification of one of the most annoying symptoms of Parkinson's disease, the so-called Freezing of Gait. This contribution relies on the posture algorithm which has been validated in Parkinson's disease patients. Furthermore, it is shown how the introduction of the posture detection improves the evaluation values of the FOG algorithms

    La siguiente disertación presenta las aportaciones del autor en el campo de la monitorización del movimiento humano y, especialmente, en la enfermedad del Parkinson. Las recientes tecnologías han permitido desarrollar sensores inerciales de tamaño muy reducido para monitorizar el movimiento humano. Estos sensores se emplean en las llamadas unidades de medida inercial, que son unos dispositivos de pequeño tamaño capaces de medir el movimiento, se ha extendido ampliamente empleándose, entre otros, en campos como la medicina, el deporte, la automoción o los videojuegos. En la primera parte de la presente tesis, se describe el desarrollo de una unidad de medida inercial optimizada para realizar la adquisición y el tratamiento de los datos con un mínimo consumo y, de esa forma, conseguir una larga autonomía. La principal novedad aportada consiste en la posibilidad de implementar en tiempo real clasificadores basados en inteligencia artificial a través de un hardware y un firmware diseñados específicamente para que el sistema inercial sea flexible y capaz de implementar las dos operaciones, captura de datos y ejecución de algoritmos. Esta herramienta se ha validado en diferentes proyectos europeos y diferentes trabajos llevados a cabo en el Centro de Estudios Tecnológicos para la Atención de la Dependencia y la Vida Autónoma de la Universidad Politécnica de Catalunya (CETpDUPC). En la segunda parte de la tesis se describen dos algoritmos para identificar diferentes tipos de posturas. Los datos empleados para poder desarrollar los algoritmos se han adquirido con el sistema inercial presentado en la primera parte de la tesis. Los algoritmos desarrollados se han validado en personas sanas y en pacientes con la enfermedad del Parkinson. Estos algoritmos se focalizan en la detección de posturas con un único sistema inercial localizado en la cintura. Esta localización permite una mayor comodidad para los usuarios, entre otras ventajas. Una aportación importante es la metodología utilizada para poder detectar transiciones posturales (movimiento para pasar de una postura a otra). Se ha empleado el paradigma de las máquinas de vectores soporte para poder distinguir las diferentes posturas del usuario o paciente. La detección de transiciones posturales se integra en un sistema jerárquico de clasificación, al cual se añade un detector de actividades básicas donde se identifican posturas estáticas, como estar sentado, de pie, o tumbado, y posturas dinámicas, como caminar. En la parte final de la tesis se presenta una aportación a la identificación de uno de los síntomas de la enfermedad del Parkinson más incapacitantes: el bloqueo de la marcha. El algoritmo de posturas se aplica en señales captadas por la unidad inercial descrita en la primera parta de la tesis para complementar a los algoritmos actuales de detección de bloqueos de la marcha. Además, se demuestra cómo los valores de evaluación del algoritmo de detección del bloqueo de la marcha mejoran al aplicar el algoritmo de posturas. De esta forma, el nuevo algoritmo contextualiza la detección del bloqueo de la marcha, omitiendo los casos positivos que ocurran en situaciones donde no es posible que un bloqueo de la marcha ocurra.

  • Digitizing archetypal human experience through pshysiological signals

     Ivonin, Leonid
    Eindhoven University of Technology
    Theses

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    The problem of capturing human experience is relevant in many application domains. In fact, the process of describing and sharing individual experience lies at the heart of human culture. Throughout the courses of our lives we learn a great deal of information about the world from other people¿s experience. Besides the ability to share utilitarian experience such as whether a particular plant is poisonous, humans have developed a sophisticated competency of social signaling that enables us to express and decode emotional experience. The natural way of sharing emotional experiences requires those who share to be co-present during this event. However, people have overcome the limitation of physical presence by creating a symbolic system of representations. This advancement came at a price of losing some of the multidimensional aspects of primary, bodily experience during its projection into the symbolic form. Recent research in the field of affective computing has addressed the question of digitization and transmission of emotional experience through monitoring and interpretation of physiological signals. Although the outcomes of this research represent a great step forward in developing a technology that supports sharing of emotional experiences, they do not seem to help in preserving the original phenomenological experience during the aforementioned projection. This circumstance is explained by the fact that in affective computing the focus of investigation has been aimed at emotional experiences which can be consciously evaluated and described by individuals themselves. Therefore, generally speaking, applying an affective computing technique for capturing emotions of an individual is not a deeper or more precise way to project her experience into the symbolic form than asking this person to write down a description of her emotions on a piece of paper. One can say that so far the research in affective computing has aimed at delivering Technology that could automate the projection but it has not considered the problem of improving the projection in order to preserve more of the multidimensional aspects of human experience. This dissertation examines whether human experience, which individuals are not able to consciously transpose into the symbolic representation, can still be captured using the techniques of affective computing. First, a theoretical framework for description of human experience which is not accessible for conscious awareness was formulated. This framework was based on the work of Carl Jung who introduced a model of a psyche that includes three levels: consciousness, the personal unconscious and the collective unconscious. [...]

  • Emotions in Archetypal Media Content

     Huang-Ming, Chang
    Technische Universiteit Eindhoven
    Theses

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    Emotion is an intriguing and mysterious psychological phenomenon. While everyone seems to know what it is, researchers have not yet come to consensus on its definition, and many questions still remain unanswered. While the nature of emotion is yet to discover, the design community has noticed its importance, and poses the challenge of how emotion could inform design. We see the necessity to follow the state of the art in psychology and initiate the undertaking by exploring the emotional qualities in various types of media content. The first part of this thesis aims at constructing a theoretical framework. Recent years have seen empirical studies suggest that emotion could be unconscious. While this is to be further justified, scientists are motivated to reconsider current theories of emotion to account for this phenomenon. In light of this, we integrate these studies about unconscious emotion into our literature review. An overview from theory to practice is illustrated to provide a reference for viewing the current states in application domains, such as affective computing and emotional design. This review offers a holistic understanding about emotion from various perspectives, which allow us to look for new directions in future studies. Based on our review, we see a promising direction by applying psychoanalysis methods to analyze the media content as affective stimuli, and these stimuli can be evaluated by using quantitative measures to investigate the connection between the content and the corresponding emotions. The analysis on the media content is based on a psychoanalysis theory¿the theory of archetypes¿proposed by Carl Jung. He argues that there exists a universal pattern in humans¿ unconscious thoughts, which can be manifested as symbolic content in various forms of narratives, such as myth and fairy tales. Today, this archetypal symbolic content can be seen in modern media, particularly in movies. By applying the Jungian approach, we analyzed the symbolic meaning in movie scenes and edit these feature scenes into a collection of archetypal media content, which serve as the experimental materials for later explorations. In the second part of this thesis, we present three experimental studies that aim at determining if archetypal media content can be differentiated based on emotional responses. We adopted the psychoanalytical approach described earlier to collect feature scenes in movies as archetypal media content. Meanwhile, affective stimuli of explicit emotions are also included as benchmarks for comparison, such as sadness and joy.

  • Proposal and development of a highly modular and scalable self-adaptive hardware architecture with parallel processing capability  Open access

     Soto Vargas, Javier Evandro
    Department of Electronic Engineering, Universitat Politècnica de Catalunya
    Theses

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    Esta tesis doctoral describe una arquitectura de hardware auto-adaptable novedosa y no convencional con capacidad de procesamiento en paralelo. Por razones de escalabilidad, esta arquitectura bioinspirada está basada en una matriz regular de células homogéneas. La arquitectura propuesta es programable, e implementa de manera distribuida diversas capacidades auto-adaptables incluyendo el auto-emplazamiento y auto-enrutamiento, los cuales debido a su diseño intrínseco, permiten el desarrollo de sistemas reconfigurables en tiempo de ejecución, así como de sistemas auto-reparables y/o con capacidades de tolerancia a fallos. La implementación física de esta arquitectura esta compuesta de dos capas, que incluyen células interconectadas en el primer nivel y matrices de conmutación y pines en el segundo nivel. La célula es el elemento básico de la arquitectura propuesta. Cualquier aplicación que se quiera programar en el sistema debe estar organizada en componentes, donde cada componente está compuesto por una o más células interconectadas. La interconexión de células dentro de un componente es realizado en el mismo nivel de la matriz de células, mientras que la interconexión de componentes es realizada en la segunda capa. Adicionalmente, se definen dos capas conceptuales que son usadas con propósitos organizativos en aplicaciones de propósito general, estas son: el SANE y el SANE-assembly (o conjunto de SANEs). La entidad auto-adaptable interconectada o SANE está compuesta por un grupo de componentes. Este es el sistema de computación auto-adaptable básico, el cual tiene la habilidad de monitorizar su entorno local y su proceso de computación interno.Las capacidades de procesamiento de la célula están incluidas en su unidad funcional (FU). Esta puede ser definida como un multicomputador configurable con cuatro núcleos, los cuales son agrupados o no dependiendo del modo de configuración. La FU tiene doce modos de configuración programables, por lo que cada célula permite seleccionar entre uno y cuatro procesadores trabajando en paralelo con diversas capacidades en las memorias de programa y datos. Las capacidades auto-adaptables de la célula son ejecutadas principalmente por la unidad de configuración de la célula (CCU). El algoritmo de auto-emplazamiento es el encargado de encontrar la posición mas adecuada dentro de la matriz de células para insertar la nueva célula de un componente. El algoritmo de auto-enrutamiento permite interconectar los puertos de las FU de dos células. Los procesos de auto-emplazamiento y auto-enrutamiento permiten realizar en tiempo real cambios funcionales complejos; estos procesos dotan al sistema de una mayor funcionalidad, permitiendo que el sistema cambie por si mismo, lo que permite la implementación de la auto-configuración en tiempo real, sin la necesidad de ningún gestor de configuración.La arquitectura propuesta incluye dos mecanismos de tolerancia a fallos. Uno de estos es una técnica escalonada y dinámica de tolerancia a fallos, que tiene la habilidad de crear y eliminar copias redundantes de la unidad funcional (o de cómputo) de una aplicación específica. El otro mecanismo de tolerancia a fallos es el Sistema de Tolerancia a Fallos dedicado o estático. Este provee capacidades de procesamiento redundante que están en funcionamiento continuamente. Cuando un fallo en la ejecución de un programa es detectado, los procesadores de la célula son detenidos y los procesos de auto-eliminación y auto-replicación se inician para la célula (o células) implicada en el fallo. Se desarrolló un prototipo basado en FPGAs y una herramienta de software para comprobar la funcionalidad del sistema. El prototipo incluye todas las características de los sistemas auto-adaptable descritas en este trabajo. El SANE Project developer (SPD) es un ambiente integrado de desarrollo (IDE) que permite generar y descargar la memoria de inicialización de datos para el Microprocesador de Control dentro del prototipo.

    This dissertation describes a novel unconventional self-adaptive hardware architecture with capacity for parallel processing. For scalability issues, this bioinspired architecture is based on a regular array of homogeneous cells. The proposed programmable architecture implements in a distributed way self-adaptive capabilities including self-placement and self-routing which, due to its intrinsic design, enable the development of systems with runtime reconfiguration, self-repair and/or fault tolerance capabilities. The physical implementation of this architecture is composed of two-layers, interconnected cells in the first level and interconnected switch and pin matrices in the second level. The cell is the basic element of the proposed self-adaptive architecture. Any application scheduled to the system has to be organized in components, where each component is composed by one or more interconnected cells. The interconnection of cells inside a component is made at cell level (first layer), while the physical interconnections of components are made in the second layer. Additionally, two layers are defined as conceptual organization for the implementation of general purpose applications: the SANE and the SANE assembly. The Self-Adaptive Networked Entity (SANE) is composed by a group of components. This is the basic self-adaptive computing system. It has the ability to monitor its local environment and its internal computation process. The SANE-Assembly (SANE-ASM) is composed by a group of interconnected SANEs. The processing capabilities of the cell are included in its Functional Unit (FU), which can be described as a four-core configurable multicomputer. The FU includes twelve programmable configuration modes, i.e., each cell permits to select from one to four processors working in parallel, with different size of program and data memories. The self-adaptive capabilities of the cell are executed mainly by the Cell Configuration Unit (CCU). The self-placement algorithm is responsible for finding out the most suitable position in the cell array to insert the new cell of a component. The self-routing algorithm permits interconnecting the ports of the FU of two cells through the cell ports. The self-placement and self-routing processes allow for performing complex functionality changes in real time, these processes endow the system with enhanced functionality, enabling the system to change itself, this allows for the implementation of run-time self-configuration, without the need for any configuration manager. The architecture proposed includes two mechanisms of fault tolerance. One of these is the Dynamic Fault Tolerance Scaling Technique, that has the ability to create and eliminate the redundant copies of the functional section of a specific application. The other mechanism of fault tolerance is a dedicated or static Fault Tolerance System. It provides redundant processing capabilities that are working continuously. When a failure in the execution of a program is detected, the processors of the cell are stopped and the self-elimination and self-replication processes start for the cell (or cells) involved in the failure. An FPGA-based prototype and a software tool have been built for demonstration purposes. The prototype includes all the self-adaptive capabilities described in this dissertation. With the purpose of having a complete development system, the software tool SANE Project Developer (SPD) has been implemented. The SPD is an Integrated Development Environment (IDE) that allows generating the memory initialization data for the control microprocessor inside the prototype.

    Esta tesis doctoral describe una arquitectura de hardware auto-adaptable novedosa y no convencional con capacidad de procesamiento en paralelo. Por razones de escalabilidad, esta arquitectura bioinspirada está basada en una matriz regular de células homogéneas. La arquitectura propuesta es programable, e implementa de manera distribuida diversas capacidades auto-adaptables incluyendo el auto-emplazamiento y auto-enrutamiento, los cuales debido a su diseño intrínseco, permiten el desarrollo de sistemas reconfigurables en tiempo de ejecución, así como de sistemas autoreparables y/o con capacidades de tolerancia a fallos. La implementación física de esta arquitectura esta compuesta de dos capas, que incluyen células interconectadas en el primer nivel y matrices de conmutación y pines en el segundo nivel. La célula es el elemento básico de la arquitectura propuesta. Cualquier aplicación que se quiera programar en el sistema debe estar organizada en componentes, donde cada componente está compuesto por una o más células interconectadas. La interconexión de células dentro de un componente es realizado en el mismo nivel de la matriz de células, mientras que la interconexión de componentes es realizada en la segunda capa. Adicionalmente, se definen dos capas conceptuales que son usadas con propósitos organizativos en aplicaciones de propósito general, estas son: el SANE y el SANE-assembly (o conjunto de SANEs). La entidad auto-adaptable interconectada o SANE está compuesta por un grupo de componentes. Este es el sistema de computación auto-adaptable básico, el cual tiene la habilidad de monitorizar su entorno local y su proceso de computación interno. Las capacidades de procesamiento de la célula están incluidas en su unidad funcional (FU). Esta puede ser definida como un multicomputador configurable con cuatro núcleos, los cuales son agrupados o no dependiendo del modo de configuración. La FU tiene doce modos de configuración programables, por lo que cada célula permite seleccionar entre uno y cuatro procesadores trabajando en paralelo con diversas capacidades en las memorias de programa y datos. Las capacidades auto-adaptables de la célula son ejecutadas principalmente por la unidad de configuración de la célula (CCU). El algoritmo de auto-emplazamiento es el encargado de encontrar la posición mas adecuada dentro de la matriz de células para insertar la nueva célula de un componente. El algoritmo de auto-enrutamiento permite interconectar los puertos de las FU de dos células. Los procesos de auto-emplazamiento y auto-enrutamiento permiten realizar en tiempo real cambios funcionales complejos; estos procesos dotan al sistema de una mayor funcionalidad, permitiendo que el sistema cambie por si mismo, lo que permite la implementación de la auto-configuración en tiempo real, sin la necesidad de ningún gestor de configuración. La arquitectura propuesta incluye dos mecanismos de tolerancia a fallos. Uno de estos es una técnica escalonada y dinámica de tolerancia a fallos, que tiene la habilidad de crear y eliminar copias redundantes de la unidad funcional (o de cómputo) de una aplicación específica. El otro mecanismo de tolerancia a fallos es el Sistema de Tolerancia a Fallos dedicado o estático. Este provee capacidades de procesamiento redundante que están en funcionamiento continuamente. Cuando un fallo en la ejecución de un programa es detectado, los procesadores de la célula son detenidos y los procesos de auto-eliminación y auto-replicación se inician para la célula (o células) implicada en el fallo. Se desarrolló un prototipo basado en FPGAs y una herramienta de software para comprobar la funcionalidad del sistema. El prototipo incluye todas las características de los sistemas auto-adaptable descritas en este trabajo. El SANE Project developer (SPD) es un ambiente integrado de desarrollo (IDE) que permite generar y descargar la memoria de inicialización de datos para el Microprocesador de Control dentro del prototipo.

  • prórroga del TIN2010-20966-C02-02 - APRENDIZAJE AUTOMATICO DE CAPACIDADES SENSORIALES MEDIANTE MAQUINAS DE SOPORTE VECTORIAL

     Sanchez Soler, Monica; Ruiz Vegas, Francisco Javier; Prats Duaygues, Francesc; Aguado Chao, Juan Carlos; Sama Monsonis, Albert
    Competitive project

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  • Centre d'Estudis Tecnològics per a l'atenció a la Dependència i vida autònoma

     Cabestany Moncusi, Joan; Moreno Arostegui, Juan Manuel; Madrenas Boadas, Jordi; Cosp Vilella, Jordi; Llanas Parra, Francesc Xavier; Sama Monsonis, Albert; Perez Lopez, Carlos; Rodriguez Martin, Daniel Manuel; Reyes Ortiz, Jorge Luis; Sayeed, Taufique; Takac, Boris; Khan, Rafiullah; Huang-Ming, Chang; Bano, Sophia; Català Mallofré, Andreu
    Competitive project

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  • Access to the full text
    A week-long study on Robot-Visitors Spatial Relationships during Guidance in a Sciences Museum  Open access

     Diaz Boladeras, Marta; Paillacho, Dennys; Angulo Bahón, Cecilio; Torres, Oriol; González, Jonathan; Albo Canals, Jordi
    ACM/IEEE International Conference on Human-Robot Interaction
    p. 152-153
    DOI: 10.1145/2559636.2559797
    Presentation's date: 2014-03
    Presentation of work at congresses

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    In order to observe spatial relationships in social human-robot interactions, a eld trial was carried out within the CosmoCaixa Science Museum in Barcelona. The follow me episodes studied showed that the space congurations formed by guide and visitors walking together did not always tthe robot social affordances and navigation requirements to perform the guidance successfully, thus additional communication prompts are considered to regulate effectively the walking together and follow me behaviors.

    In order to observe spatial relationships in social human-robot interactions, a eld trial was carried out within the CosmoCaixa Science Museum in Barcelona. The follow me episodes studied showed that the space con gurations formed by guide and visitors walking together did not always tthe robot social affordances and navigation requirements to perform the guidance successfully, thus additional communication prompts are considered to regulate effectively the walking together and follow me behaviors.

  • Robust video stabilization based on motion intention for low-cost micro aerial vehicles

     Aguilar, Wilbert; Angulo Bahón, Cecilio
    International Multi-Conference on Systems, Signals and Devices
    p. 1-6
    Presentation's date: 2014-02-12
    Presentation of work at congresses

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    Currently, different hand-held devices as domestic cameras, smart-phones, tablets, or on-board cameras for robots are becoming popular for video capturing. A main concern with these gadgets is undesired movement between consecutive frames. Video stabilization is a technique with increasing impact for solving this problem. In this paper, a proposal is introduced for robust video stabilization, in particular for on-board cameras in micro aerial vehicles. It is based on a combination of the RANSAC (RANdom SAmple Consensus) algorithm and gray level differences as cost function for local motion parameter estimation, as well as a low-pass filter for global motion smoothing. Experimentation will illustrate about of the robustness proposed solution.

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    Robotics@Montserrat: A case of Learning through robotics community in a primary and secondary school  Open access

     Sans-Cope, Olga; Barco, Alex; Albo Canals, Jordi; Diaz Boladeras, Marta; Angulo Bahón, Cecilio
    Child-Robot Interaction Workshop at Interaction Design and Children Conference
    p. 1-5
    Presentation's date: 2014-06-17
    Presentation of work at congresses

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    Nowadays is well known that the learning of STEM (science, technology, engineering, and mathematics) can benefit from using Robotics technologies. Furthermore, robot-based educational activities can enhance not only the acquirement of concepts in other fields (e.g. literature, history) but even improve children emotional and social development. This paper describes how robotics has been introduced transversally at all k12 level in the school Montserrat in Barcelona, Spain. The infrastructure to support the program, the planning of the activities and research studies, a classification of these activities based on the children-robot interaction modality, and the details of some examples are described and discussed.

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    Subspace procrustes analysis  Open access

     Perez Sala, Xavier; De La Torre, Fernando; Igual, Laura; Escalera, Sergio; Angulo Bahón, Cecilio
    European Conference on Computer Vision
    Presentation's date: 2014-09
    Presentation of work at congresses

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    Procrustes Analysis (PA) has been a popular technique to align and build 2-D statistical models of shapes. Given a set of 2-D shapes PA is applied to remove rigid transformations. Then, a non-rigid 2-D model is computed by modeling (e.g., PCA) the residual. Although PA has been widely used, it has several limitations for modeling 2-D shapes: occluded landmarks and missing data can result in local minima solutions, and there is no guarantee that the 2-D shapes provide a uniform sampling of the 3-D space of rotations for the object. To address previous issues, this paper proposes Subspace PA (SPA). Given several instances of a 3-D object, SPA computes the mean and a 2-D subspace that can simultaneously model all rigid and non-rigid deformations of the 3-D object. We propose a discrete (DSPA) and continuous (CSPA) formulation for SPA, assuming that 3-D samples of an object are provided. DSPA extends the traditional PA, and produces unbiased 2-D models by uniformly sampling different views of the 3-D object. CSPA provides a continuous approach to uniformly sample the space of 3-D rotations, being more effcient in space and time. Experiments using SPA to learn 2-D models of bodies from motion capture data illustrate the benefits of our approach.

  • Design, implementation and evaluation of a social skills group program of robot-based activities for children with ASD

     Padillo, Vanessa; Barco, Alex; Diaz Boladeras, Marta; Rosa, Lina; Albo Canals, Jordi; Angulo Bahón, Cecilio
    International Conference on Innovative Technologies (IT) for Autism (ASD)
    Presentation's date: 2014-10-03
    Presentation of work at congresses

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    Presentation of a study with 16 children between 9 and 12 years old with high functioning ASD participating in a play-based robotic activities program that was carried out to assess children social behavior and to analyze the effectiveness in order to draw conclusions for designing robot-based interventions. During robotic activities we observed in children engagement and commitment to the activity.

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    Defining dimensions in expertise recommender systems for enhancing open collaborative innovation  Open access

     Jennifer, Nguyen; Asier, Pereda; Sánchez Hernández, Germán; Angulo Bahón, Cecilio
    International Conference of the Catalan Association for Artificial Intelligence
    p. 285-288
    DOI: 10.3233/978-1-61499-452-7-285
    Presentation's date: 2014-10
    Presentation of work at congresses

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    In open innovation a firm¿s R&D crosses not only internal boundaries but disciplines. It is an interactive process of knowledge generation and transfer between internal and external firms. However, the search for an external partner can be time consuming and costly. Open innovation marketplaces broker relationships between seekers and solvers of challenges. Seekers have a problem which they need to solve and solvers are a community of people with the right skills to discover innovative ideas to address them. Despite the assistance of open innovation marketplaces, the process of matching seekers and solvers remains a challenge. It will be argued in this article that expertise recommender systems in an open innovation marketplace can facilitate finding the ¿right partner¿ leading to benefits not only for the seeker and the solver but also for the marketplace. With this aim, a list of appropriated dimensions to be considered for the expertise recommender system are defined. An illustrative example is also provided.

    In open innovation a firm’s R&D crosses not only internal boundaries but disciplines. It is an interactive process of knowledge generation and transfer between internal and external firms. However, the search for an external partner can be time consuming and costly. Open innovation marketplaces broker relationships between seekers and solvers of challenges. Seekers have a problem which they need to solve and solvers are a community of people with the right skills to discover innovative ideas to address them. Despite the assistance of open innovation marketplaces, the process of matching seekers and solvers remains a challenge. It will be argued in this article that expertise recommender systems in an open innovation marketplace can facilitate finding the “right partner” leading to benefits not only for the seeker and the solver but also for the marketplace. With this aim, a list of appropriated dimensions to be considered for the expertise recommender system are defined. An illustrative example is also provided.

  • Observation of chaotic behavior in automatic tuning loops for continuous-time filters

     Martínez García, Herminio; Cosp Vilella, Jordi; Manzanares Brotons, Manuel
    IEEE International Midwest Symposium on Circuits and Systems
    p. 742-745
    DOI: 10.1109/MWSCAS.2013.6674756
    Presentation's date: 2014-08
    Presentation of work at congresses

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    he appropriate linear dynamic modeling of continuous-time filters (CTFs) with automatic tuning loops should be obtained to assure stability in case an improved design of the loop controllers is to be carried out. With this aim, starting from a general and systematic analysis in order to obtain an equivalent small-signal linearized incremental model, from which transfer functions between output variables and control voltages are derived, the subsequent design of compensated loops with enhanced stability and dynamic performance is required. This systematic procedure allows obtaining improved controllers for the two involved control loops. However, CTFs with automatic tuning loops are nonlinear feedback systems with potential instability. What is more, nonlinear phenomena, which cannot be predicted by a design-oriented small signal modeling approach, are observed in this kind of tuning systems. The purpose of this work is to highlight that when control parameters are varied, the system could present different kinds of dynamical nonlinear phenomena such as bifurcations and chaotic behavior, which cannot be predicted by the small signal design-oriented model.

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    Develoment of an inverse model for honing processes by means of neural networks  Open access

     Sivatte Adroer, Maurici; Llanas Parra, Francesc Xavier; Buj Corral, Irene; Vivancos Calvet, Joan
    International Reseach/Expert Conference "Trends in the Development of Machinery and Associated Technology"
    p. 9-12
    Presentation's date: 2014-09-11
    Presentation of work at congresses

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    In a previous paper, artificial neural networks were employed for modelling average roughness Ra in rough honing processes as a function of process variables, namely grain size, density, linear speed, tangential speed and pressure, by means of the direct problem. In addition, neural network model was compared to statistical models for modelling roughness. In the present paper the inverse problem was studied and analyzed by means of neural networks, in which given a certain average roughness Ra value, the model predicts process variables to be employed. This is not possible with statistical models. Two different approaches were considered: use of a single network or use of five networks.

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    Estabilización de vídeo en micro vehículos aéreos y su aplicación en la detección de caras  Open access

     Aguilar, Wilbert; Angulo Bahón, Cecilio
    Congreso de Ciencia y Tecnología
    p. 155-160
    Presentation's date: 2014-05
    Presentation of work at congresses

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    Actualmente, los vehículos aéreos de micros escala (MAVs) se han tornado populares para múltiples aplicaciones como rescate, vigilancia, mapeo, entre otras. Para todos los casos, es necesario un óptimo desempeño de los vídeos capturados a bordo, y uno de los principales problemas constituyen los movimientos indeseados entre fotogramas consecutivos. Para solventar esta problemática existes diferentes enfoques que, aplicados a post-procesamiento, consiguen una estabilización robusta en la imagen. Sin embargo, muy pocos algoritmos son capaces de ser aplicados en tiempo real. En este artículo se presenta un nuevo enfoque que puede ser implementado en tiempo real sin que se generen movimientos falsos. Nuestra propuesta usa una combinación de un filtro pasabajos, y la información de la acción de control para la estimación de la intención de movimiento. Adicionalmente, se presenta la aplicación de nuestra propuesta en el algoritmo de detección de caras, en el cual, la robustez se incrementa al ser implementado a partir de la secuencia estable de vídeo.

    Actualmente, los vehículos aéreos de micros escala (MAVs) se han tornado populares para múltiples aplicaciones como rescate, vigilancia, mapeo, entre otras. Para todos los casos, es necesario un óptimo desempeño de los vídeos capturados a bordo, y uno de los principales problemas constituyen los movimientos indeseados entre fotogramas consecutivos. Para solventar esta problemática existes diferentes enfoques que, aplicados a post-procesamiento, consiguen una estabilización robusta en la imagen. Sin embargo, muy pocos algoritmos son capaces de ser aplicados en tiempo real. En este artículo se presenta un nuevo enfoque que puede ser implementado en tiempo real sin que se generen movimientos falsos. Nuestra propuesta usa una combinación de un filtro pasabajos, y la información de la acción de control para la estimación de la intención de movimiento. Adicionalmente, se presenta la aplicación de nuestra propuesta en el algoritmo de detección de caras, en el cual, la robustez se incrementa al ser implementado a partir de la secuencia estable de vídeo.

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    Control autónomo de cuadricópteros para seguimiento de trayectorias  Open access

     Aguilar, Wilbert; Costa Castelló, Ramon; Angulo Bahón, Cecilio; Molina, Luis
    Congreso de Ciencia y Tecnología
    p. 140-144
    Presentation's date: 2014-05
    Presentation of work at congresses

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    El presente artículo técnico describe brevemente la propuesta de solución al control autónomo del seguimiento de trayectoria en el plano XY para el vehículo cuatrirrotor, como parte de la primer etapa del Concurso de Ingeniería de Control 2013 organizado por el Comité Español de Automática. El vehículo cuatrirrotor es el AR.Drone 1.0 de la empresa Parrot cuyo comportamiento es no lineal. La propuesta incluye modelado del sistema, diseño del controlador, planificador y simulación de los resultados.

    El presente artículo técnico describe brevemente la propuesta de solución al control autónomo del seguimiento de trayectoria en el plano XY para el vehículo cuatrirrotor, como parte de la primer etapa del Concurso de Ingeniería de Control 2013 organizado por el Comité Español de Automática. El vehículo cuatrirrotor es el AR.Drone 1.0 de la empresa Parrot cuyo comportamiento es no lineal. La propuesta incluye modelado del sistema, diseño del controlador, planificador y simulación de los resultados.

  • Millor projecte europeu de recerca. European Projects Awards 2013

     Cabestany Moncusi, Joan; Rovira, Jordi; Rodríguez, Alejandro
    Award or recognition

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  • Experience the world with archetypal symbols: a new form of esthetics.

     Chang, Huang-ming; Ivonin, Leonid; Diaz Boladeras, Marta; Català Mallofré, Andreu; Chen, Wei; Rauterberg, Mattias
    Lecture notes in computer science
    Vol. 8028, p. 205-214
    DOI: 10.1007/978-3-642-39351-8
    Date of publication: 2013-03-01
    Journal article

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    According to the theories of symbolic interactionism, phenomenology of perception and archetypes, we argue that symbols play the key role in translating the information from the physical world to the human experience, and archetypes are the universal knowledge of cognition that generates the background of human experience (the life-world). Therefore, we propose a conceptual framework that depicts how people experience the world with symbols, and how archetypes relate the deepest level of human experience. This framework indicates a new direction of research on memory and emotion, and also suggests that archetypal symbolism can be a new resource of aesthetic experience desig

    According to the theories of symbolic interactionism, phenomenology of perception and archetypes, we argue that symbols play the key role in translating the information from the physical world to the human experience, and archetypes are the universal knowledge of cognition that generates the background of human experience (the life-world). Therefore, we propose a conceptual framework that depicts how people experience the world with symbols, and how archetypes relate the deepest level of human experience. This framework indicates a new direction of research on memory and emotion, and also suggests that archetypal symbolism can be a new resource of aesthetic experience design.

  • SVM-based posture identification with a single waist-located triaxial accelerometer

     Rodriguez Martin, Daniel Manuel; Sama Monsonis, Albert; Perez Lopez, Carlos; Català Mallofré, Andreu; Cabestany Moncusi, Joan; Rodríguez Molinero, Alejandro
    Expert systems with applications
    Vol. 40, num. 18, p. 7203-7211
    DOI: 10.1016/j.eswa.2013.07.028
    Date of publication: 2013-12
    Journal article

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    Analysis of human body movement is an important research area, specially for health applications. In order to assess the quality of life of people with mobility problems like Parkinson¿s disease o stroke patients, it is crucial to monitor and assess their daily life activities. The main goal of this work is the characterization of basic activities using a single triaxial accelerometer located at the waist. This paper presents a novel postural detection algorithm based in SVM methods which is able to detect and identify Walking, Stand, Sit, Lying, Sit to Stand, Stand to sit, Bending up/down, Lying from Sit and Sit from Lying transitions with a sensitivity of 97% and specificity of 84% with 2884 postures analyzed from 31 healthy volunteers. Parameters and models found have been tested in another dataset from Parkinson¿s disease patients, achieving results of 98% of sensitivity and 78% of specificity in postural transitions. The proposed algorithm has been optimized to be easily implemented in real-time system for on-line monitoring applications.

    Analysis of human body movement is an important research area, specially for health applications. In order to assess the quality of life of people with mobility problems like Parkinson’s disease o stroke patients, it is crucial to monitor and assess their daily life activities. The main goal of this work is the characterization of basic activities using a single triaxial accelerometer located at the waist. This paper presents a novel postural detection algorithm based in SVM methods which is able to detect and identify Walking, Stand, Sit, Lying, Sit to Stand, Stand to sit, Bending up/down, Lying from Sit and Sit from Lying transitions with a sensitivity of 97% and specificity of 84% with 2884 postures analyzed from 31 healthy volunteers. Parameters and models found have been tested in another dataset from Parkinson’s disease patients, achieving results of 98% of sensitivity and 78% of specificity in postural transitions. The proposed algorithm has been optimized to be easily implemented in real-time system for on-line monitoring applications.

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    Experiencing the world with archetypal symbols: A new form of aesthetics.  Open access

     Huang-Ming, Chang; Ivonin, Leonid; Diaz Boladeras, Marta; Català Mallofré, Andreu; Chen, Wei; Rauterberg, Mattias
    Lecture notes in computer science
    Vol. 8028 Distributed, Ambient, p. 205-214
    DOI: 10.1007/978-3-642-39351-8_23
    Date of publication: 2013-09-04
    Journal article

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    According to the theories of symbolic interactionism, phenomenology of perception and archetypes, we argue that symbols play the key role in translating the information from the physical world to the human experience, and archetypes are the universal knowledge of cognition that generates the background of human experience (the life-world). Therefore, we propose a conceptual framework that depicts how people experience the world with symbols, and how archetypes relate the deepest level of human experience. This framework indicates a new direction of research on memory and emotion, and also suggests that archetypal symbolism can be a new resource of aesthetic experience design.

  • Access to the full text
    From mythology to psychology: Identifying archetypal symbols in movies  Open access

     Diaz Boladeras, Marta; Català Mallofré, Andreu; Chen, Wei; Rauterberg, Mattias; Ivonin, Leonid; Huang-Ming, Chang
    Technoetic arts: a journal of speculative research
    Vol. 11, num. 2, p. 99-113
    DOI: 10.1386/tear.11.2.99_1
    Date of publication: 2013-09-06
    Journal article

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    In this article, we introduce the theory of archetype, which explains the connection between ancient myths and the human mind. Based on the assumption that archetypes are in the deepest level of human mind, we propose that archetypal symbolism is a kind of knowledge that supports the cognitive process for creating subjective world-view towards the physical world we live in. According to archetypal symbolism, we conducted an empirical study to identify archetypal symbols in modern movies. A new collection of movie clips was developed to represent eight essential archetypes: anima, animus, mentor, mother, shadow, hero¿s departure, hero¿s initiation and hero¿s return, which can be used in future studies on human emotion. In order to investigate the emotions towards these archetypal symbols, we provide suggestions from the psychological point of view. The present study demonstrates how to identify symbolic meanings in movies, and indicates a new direction for future studies in psychology.

    In this article, we introduce the theory of archetype, which explains the connection between ancient myths and the human mind. Based on the assumption that archetypes are in the deepest level of human mind, we propose that archetypal symbolism is a kind of knowledge that supports the cognitive process for creating subjective world-view towards the physical world we live in. According to archetypal symbolism, we conducted an empirical study to identify archetypal symbols in modern movies. A new collection of movie clips was developed to represent eight essential archetypes: anima, animus, mentor, mother, shadow, hero’s departure, hero’s initiation and hero’s return, which can be used in future studies on human emotion. In order to investigate the emotions towards these archetypal symbols, we provide suggestions from the psychological point of view. The present study demonstrates how to identify symbolic meanings in movies, and indicates a new direction for future studies in psychology.

  • Real-time, speech-in-speech hiding scheme based on least significant bit substitution and adaptive key

     Ballesteros Larrotta, Dora Maria; Moreno Arostegui, Juan Manuel
    Computers and electrical engineering
    Vol. 39
    DOI: 10.1016/j.compeleceng.2013.02.006
    Date of publication: 2013-03-05
    Journal article

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    Real-time, embedded speech-in-speech hiding has not been widely researched. Nevertheless, it could be useful, among other cases, in secure mobile telephony. In this paper, we propose a new scheme of data hiding which takes advantage of the masking property of the Human Auditory System (HAS) to hide a secret (speech) signal into a host (speech) signal. The embedding process is carried out into the wavelet coefficients of the speech signals. The main point of the proposed scheme is that the embedding process is suitable for real-time processing, and the secret¿s coefficients are relocated by an adaptive key, instead of a pseudo-noise sequence of some approaches. The latency of the embedding module makes this approach useful for real-time speech communication because the total delay added by the proposed system is low compared to the highest delay allowed for a high quality speech transmission

    Real-time, embedded speech-in-speech hiding has not been widely researched. Nevertheless, it could be useful, among other cases, in secure mobile telephony. In this paper, we propose a new scheme of data hiding which takes advantage of the masking property of the Human Auditory System (HAS) to hide a secret (speech) signal into a host (speech) signal. The embedding process is carried out into the wavelet coefficients of the speech signals. The main point of the proposed scheme is that the embedding process is suitable for real-time processing, and the secret’s coefficients are relocated by an adaptive key, instead of a pseudo-noise sequence of some approaches. The latency of the embedding module makes this approach useful for real-time speech communication because the total delay added by the proposed system is low compared to the highest delay allowed for a high quality speech transmission.

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    A bit more on the ability of adaptation of speech signals  Open access

     Ballesteros Larrotta, Dora Maria; Moreno Arostegui, Juan Manuel
    Revista Facultad de Ingeniería. Universidad de Antioquía
    num. 66, p. 82-90
    Date of publication: 2013-03
    Journal article

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    Some traditional digital signal processing techniques encompass enhancement, filtering, coding, compression, detection and recognition. Recently, it has been presented a new hypothesis of signal processing known as the ability of adaptation of speech signals: an original speech signal may sound similar to a target speech signal if a relocation process of its wavelet coefficients is applied. This hypothesis is true under some conditions theoretically defined. In this paper we present the basic idea behind the hypothesis of adaptation and moreover, we test the hypothesis within four cases: speech signals with the same gender and language, speech signals with the same gender but different language, speech signals with the same language but different gender, and speech signals with different gender and language. It is found that the hypothesis is true if the requirements are satisfied, even if the gender or the language of the original and target signals are not the same.

    Some traditional digital signal processing techniques encompass enhancement, filtering, coding, compression, detection and recognition. Recently, it has been presented a new hypothesis of signal processing known as the ability of adaptation of speech signals: an original speech signal may sound similar to a target speech signal if a relocation process of its wavelet coefficients is applied. This hypothesis is true under some conditions theoretically defined. In this paper we present the basic idea behind the hypothesis of adaptation and moreover, we test the hypothesis within four cases: speech signals with the same gender and language, speech signals with the same gender but different language, speech signals with the same language but different gender, and speech signals with different gender and language. It is found that the hypothesis is true if the requirements are satis® ed, even if the gender or the language of the original and target signals are not the same.

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    Energy efficient smartphone-based activity recognition using fixed-point arithmetic  Open access

     Anguita, Davide; Ghio, Alessandro; Oneto, Luca; Llanas Parra, Francesc Xavier; Reyes Ortiz, Jorge Luis
    Journal of universal computer science
    Vol. 19, num. 9, p. 1295-1314
    Date of publication: 2013
    Journal article

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    In this paper we propose a novel energy efficient approach for the recognition of human activities using smartphones as wearable sensing devices, targeting assisted living applications such as remote patient activity monitoring for the disabled and the elderly. The method exploits fixed-point arithmetic to propose a modified multiclass Support Vector Machine (SVM) learning algorithm, allowing to better preserve the smartphone battery lifetime with respect to the conventional floating-point based formulation while maintaining comparable system accuracy levels. Experiments show comparative results between this approach and the traditional SVM in terms of recognition performance and battery consumption, highlighting the advantages of the proposed method.

    In this paper we propose a novel energy efficient approach for the recognition of human activities using smartphones as wearable sensing devices, targeting assisted living applications such as remote patient activity monitoring for the disabled and the elderly. The method exploits fixed-point arithmetic to propose a modified multiclass Support Vector Machine (SVM) learning algorithm, allowing to better pre- serve the smartphone battery lifetime with respect to the conventional floating-point based formulation while maintaining comparable system accuracy levels. Experiments show comparative results between this approach and the traditional SVM in terms of recognition performance and battery consumption, highlighting the advantages of the proposed method.

  • An asynchronous finite-state-machine-based buck-boost converter for on-chip adaptive power supply

     Fernández, Daniel; Madrenas Boadas, Jordi; Alarcon Cot, Eduardo Jose
    Analog integrated circuits and signal processing
    Vol. 74, num. 1, p. 227-238
    DOI: 10.1007/s10470-012-9975-8
    Date of publication: 2013-01
    Journal article

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    In this paper we present an asynchronous finite-state machine digital controller co-integrated with an on-chip non-inverting buck-boost power converter with dynamic signal-tracking capabilities. The mostly-digital controller functionally implements a non-PWM zone-wise control law through asynchronous circuitry, thus exhibiting self-timed minimum latency and ultra low power operation due to gate switching activity. Experimental results on a 0.35 µm CMOS technology demonstrate an efficiency up to 80 % with a switching frequency of 2.86 MHz.

    In this paper we present an asynchronous finite-state machine digital controller co-integrated with an on-chip non-inverting buck-boost power converter with dynamic signal-tracking capabilities. The mostly-digital controller functionally implements a non-PWM zone-wise control law through asynchronous circuitry, thus exhibiting self-timed minimum latency and ultra low power operation due to gate switching activity. Experimental results on a 0.35 lm CMOS technology demonstrate an efficiency up to 80 % with a switching frequency of 2.86 MHz

  • Advances in computational intelligence

     Rojas, Ignacio; Cabestany Moncusi, Joan; Joya, Gonzalo
    Softcomputing
    Vol. 17, num. 2, p. 195-197
    DOI: DOI 10.1007/s00500-012-0899-0
    Date of publication: 2013-02
    Journal article

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  • A study on output normalization in multiclass SVMs

     González Abril, Luis; Velasco Morente, Francisco; Angulo Bahón, Cecilio; Ortega Ramirez, Juan Antonio
    Pattern recognition letters
    Vol. 34, num. 3, p. 344-348
    DOI: 10.1016/j.patrec.2012.11.003
    Date of publication: 2013-02-01
    Journal article

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    The use of binary support vector machines (SVMs) in multi-classification is addressed in this paper. Margins associated to the bi-classifiers, since they depend on the geometrical disposition of the classes being separated, are, in general, of various magnitudes. In order to overcome this scaling problem, a normalization process should be applied on the SVMs’ outputs. Thus, a new normalization approach is presented based on the convex hulls that contain the classes to be separated. Furthermore, a theoretical study is developed which justifies the proposed approach, and an interpretation is provided. An empirical study is also carried out to compare this normalization with others found in the literature.

  • Preface

     Moreno Arostegui, Juan Manuel; Cabestany Moncusi, Joan; Rojas Ruiz, Ignacio
    Neural processing letters
    Vol. 37, num. 1, p. 1
    DOI: 10.1007/s11063-012-9273-6
    Date of publication: 2013-02-01
    Journal article

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  • A self-adaptive hardware architecture with fault tolerance capabilities

     Soto, Javier; Moreno Arostegui, Juan Manuel; Cabestany Moncusi, Joan
    Neurocomputing
    Vol. 121, p. 25-31
    DOI: 10.1016/j.neucom.2012.10.038
    Date of publication: 2013-12-09
    Journal article

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    This paper describes a Fault Tolerance System (FTS) implemented in a new self-adaptive hardware architecture. This architecture is based on an array of cells that implements in a distributed way self-adaptive capabilities. The cell includes a configurable multiprocessor, so it can have between one and four processors working in parallel, with a programmable configuration mode that allows selecting the size of program and data memories. The self-elimination and self-replication capabilities of cell(s) are performed when the FTS detects a failure in any of the processors that include it, so that this cell(s) will be self-discarded for future implementations. Other adaptive capabilities of the system are self-routing, self-placement and runtime self-configuration. Additionally, it is described as an example application and a software tool that has been implemented to facilitate the development of applications to test the system.

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    A wearable inertial measurement unit for long-term monitoring in the dependency care area  Open access

     Rodriguez Martin, Daniel Manuel; Perez Lopez, Carlos; Sama Monsonis, Albert; Cabestany Moncusi, Joan; Català Mallofré, Andreu
    Sensors
    Vol. 13, num. 10, p. 14079-14104
    DOI: 10.3390/s131014079
    Date of publication: 2013-10-18
    Journal article

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    Human movement analysis is a field of wide interest since it enables the assessment of a large variety of variables related to quality of life. Human movement can be accurately evaluated through Inertial Measurement Units (IMU), which are wearable and comfortable devices with long battery life. The IMU's movement signals might be, on the one hand, stored in a digital support, in which an analysis is performed a posteriori. On the other hand, the signal analysis might take place in the same IMU at the same time as the signal acquisition through online classifiers. The new sensor system presented in this paper is designed for both collecting movement signals and analyzing them in real-time. This system is a flexible platform useful for collecting data via a triaxial accelerometer, a gyroscope and a magnetometer, with the possibility to incorporate other information sources in real-time. A SD card can store all inertial data and a Bluetooth module is able to send information to other external devices and receive data from other sources. The system presented is being used in the real-time detection and analysis of Parkinson's disease symptoms, in gait analysis, and in a fall detection system.

    Human movement analysis is a field of wide interest since it enables the assessment of a large variety of variables related to quality of life. Human movement can be accurately evaluated through Inertial Measurement Units (IMU), which are wearable and comfortable devices with long battery life. The IMU’s movement signals might be, on the one hand, stored in a digital support, in which an analysis is performed a posteriori. On the other hand, the signal analysis might take place in the same IMU at the same time as the signal acquisition through online classifiers. The new sensor system presented in this paper is designed for both collecting movement signals and analyzing them in real-time. This system is a flexible platform useful for collecting data via a triaxial accelerometer, a gyroscope and a magnetometer, with the possibility to incorporate other information sources in real-time. A μSD card can store all inertial data and a Bluetooth module is able to send information to other external devices and receive data from other sources. The system presented is being used in the real-time detection and analysis of Parkinson’s disease symptoms, in gait analysis, and in a fall detection system