CETpD - Technical Research Centre for Dependency Care and Autonomous Living
Total activity: 7
Type
Research group
Type of group
UPC research group
Acronym
CETpD
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

Graphic summary
  • Show / hide key
  • Information


Scientific and technological production
  •  

1 to 7 of 7 results
  • Energy Aware Networking for Home Enviroments  Open access

     Khan, Rafiullah
    Department of Automatic Control, Universitat Politècnica de Catalunya
    Theses

    Read the abstract Read the abstract Access to the full text Access to the full text Open in new window  Share Reference managers Reference managers Open in new window

    A study by Lawrence Berkeley National Laboratory (LBNL) revealed that about 60% of the office PCs are left powered-up 24/7 only to maintain the network connectivity for remote access, Voice-over-IP (VOIP) clients, Instant Messaging (IM) and otheradministrative management reasons. The Advanced Configuration and Power Interface (ACPI) proposed several low power states for PCs as effective mechanism to reduce energy waste, but unfortunately they are seldomly used due to their incapability to maintain network presence. Thus, Billions of dollars of electricity is wasted every year to keep idle or unused network devices fully powered-up only to maintain the network connectivity.This dissertation addresses the Network Connectivity Proxy (NCP), a concept recently been proposed as an optimal strategyto reduce energy waste due to idle network devices. The NCP is a software entity running on a low power network device (such as home gateway, switch or router) and impersonates presence for high power devices (such as PCs) during theirsleeping periods. It wakes-up a sleeping device only when its resources are required. In short, the NCP impersonates link layer, network layer, transport layer and application layer presence on behalf of sleeping devices.In this dissertation, we presented the design and implementation of our NCP prototype. The NCP concept faces several issues and challenges that we tried to address in the most effective way in our implementations. Knowing when to start orstop proxying presence on behalf of sleeping devices is critically important for the NCP operations. To achieve this objectivein a seamless way without requiring any user intervention, we developed a kernel module that monitors the power state transitions of the device and immediately informs the NCP over a suitable communication protocol in case of any update. Animportant challenge for the NCP is its ability to proxy a huge and ever increasing number of applications and networking protocols on behalf of sleeping devices. To tackle with this challenge in an efficient way, we implemented a quite generalizedset of behavioral rules in our NCP framework that can be suitable for any protocol or application. We also incorporated deployment flexibility in our NCP software that enables us to operate it on on-board NIC, switch/router or on a standalone PC.On-board NIC and switch/router are the optimal locations for the NCP software in home/small office environment (very limited number of devices) or a standalone PC with enough resources is a good choice if high scalability is desirable e.g., mediumor large size organizations. A communication protocol is required for information exchange between the NCP and client devices e.g., for power state notifications, registration/de-registration of client devices/behavioral rules etc. To avoid anyconfiguration issues, we developed a flexible and reliable communication framework based on the Universal Plug & Play (UPnP) architecture that provides interesting features such as auto-discovery, zero-configuration and seamlesscommunication between the NCP and client devices.We expanded the NCP coverage beyond LAN boundaries in order to exploit its full potential in terms of energy savings by covering for thousands of client devices. A single global powerful NCP instance located anywhere in the Internet can makeeasier the implementation of complex tasks and boosts up the energy savings by also shutting down the unused access links and the packets forwarding equipments whenever possible. Further, we also extended the NCP concept for mobile devices to help in improving the battery life. Another important contribution of this dissertation includes the extensive evaluation of the NCP performance on different low power hardwares. We performed large number of experiments and evaluated the effectiveness of NCP prototype in different

    Cotutela Universitat Politècnica de Catalunya i Università degli Studi di Genova

    A study by Lawrence Berkeley National Laboratory (LBNL) revealed that about 60% of the office PCs are left powered-up 24/7 only to maintain the network connectivity for remote access, Voice-over-IP (VOIP) clients, Instant Messaging (IM) and other administrative management reasons. The Advanced Configuration and Power Interface (ACPI) proposed several low power states for PCs as effective mechanism to reduce energy waste, but unfortunately they are seldomly used due to their incapability to maintain network presence. Thus, Billions of dollars of electricity is wasted every year to keep idle or unused network devices fully powered-up only to maintain the network connectivity.This dissertation addresses the Network Connectivity Proxy (NCP), a concept recently been proposed as an optimal strategy to reduce energy waste due to idle network devices. The NCP is a software entity running on a low power network device (such as home gateway, switch or router) and impersonates presence for high power devices (such as PCs) during their sleeping periods. It wakes-up a sleeping device only when its resources are required. In short, the NCP impersonates link layer, network layer, transport layer and application layer presence on behalf of sleeping devices. In this dissertation, we presented the design and implementation of our NCP prototype. The NCP concept faces several issues and challenges that we tried to address in the most effective way in our implementations. Knowing when to start or stop proxying presence on behalf of sleeping devices is critically important for the NCP operations. To achieve this objective in a seamless way without requiring any user intervention, we developed a kernel module that monitors the power state transitions of the device and immediately informs the NCP over a suitable communication protocol in case of any update. An important challenge for the NCP is its ability to proxy a huge and ever increasing number of applications and networking protocols on behalf of sleeping devices. To tackle with this challenge in an efficient way, we implemented a quite generalized set of behavioral rules in our NCP framework that can be suitable for any protocol or application. We also incorporated deployment flexibility in our NCP software that enables us to operate it on on-board NIC, switch/router or on a standalone PC. On-board NIC and switch/router are the optimal locations for the NCP software in home/small office environment (very limited number of devices) or a standalone PC with enough resources is a good choice if high scalability is desirable e.g., medium or large size organizations. A communication protocol is required for information exchange between the NCP and client devices e.g., for power state notifications, registration/de-registration of client devices/behavioral rules etc. To avoid any configuration issues, we developed a flexible and reliable communication framework based on the Universal Plug & Play (UPnP) architecture that provides interesting features such as auto-discovery, zero-configuration and seamless communication between the NCP and client devices. We expanded the NCP coverage beyond LAN boundaries in order to exploit its full potential in terms of energy savings by covering for thousands of client devices. A single global powerful NCP instance located anywhere in the Internet can make easier the implementation of complex tasks and boosts up the energy savings by also shutting down the unused access links and the packets forwarding equipments whenever possible. Further, we also extended the NCP concept for mobile devices to help in improving the battery life. Another important contribution of this dissertation includes the extensive evaluation of the NCP performance on different low power hardwares. We performed large number of experiments and evaluated the effectiveness of NCP prototype in different

  • Smartphone-based human activity recognition  Open access

     Reyes Ortiz, Jorge Luis
    Department of Automatic Control, Universitat Politècnica de Catalunya
    Theses

    Read the abstract Read the abstract Access to the full text Access to the full text Open in new window  Share Reference managers Reference managers Open in new window

    El Reconocimiento de Actividades Humanas (RAH) es un campo de investigación multidisciplinario que busca recopilar información sobre el comportamiento de las personas y su interacción con el entorno con el propósito de ofrecer información contextual de alta significancia sobre las acciones que ellas realizan. Recientemente, el RAH ha contribuido en el desarrollo de áreas de estudio enfocadas a la mejora de la calidad de vida del hombre tales como: la intel¿ligència ambiental (Ambient Intelligence) y la vida cotidiana asistida por el entorno para personas dependientes (Ambient Assisted Living).El primer paso para conseguir el RAH consiste en realizar observaciones mediante el uso de sensores fijos localizados en el ambiente, o bien portátiles incorporados de forma vestible en el cuerpo humano. Sin embargo, para el segundo caso, aún se dificulta encontrar dispositivos poco invasivos, de bajo consumo energético, que permitan ser llevados a cualquier lugar, y de bajo costo. En esta tesis, nosotros exploramos el uso de teléfonos móviles inteligentes (Smartphones) como una alternativa para el RAH. Estos dispositivos, de uso cotidiano y fácilmente asequibles en el mercado, están dotados de sensores embebidos, potentes capacidades de cómputo y diversas tecnologías de comunicación inalámbrica que los hacen apropiados para esta aplicación.Nuestro trabajo presenta una serie de contribuciones en relación al desarrollo de sistemas para el RAH con Smartphones. En primera instancia proponemos un sistema que permite la detección de seis actividades físicas en tiempo real y que, además, tiene en cuenta las transiciones posturales que puedan ocurrir entre ellas. Con este fin, hemos contribuido en distintos ámbitos que van desde el procesamiento de señales y la selección de características, hasta algoritmos de Aprendizaje Automático (AA). Nosotros utilizamos dos sensores inerciales (el acelerómetro y el giroscopio) para la captura de las señales de movimiento de los usuarios. Estas han de ser procesadas a través de técnicas de filtrado para la reducción de ruido, segmentación y obtención de características relevantes en la detección de actividad. También hacemos énfasis en el estudio de Máquinas de soporte vectorial (MSV) que son uno de los algoritmos de AA más usados en la actualidad. Para ello reformulamos varios de sus métodos estándar (lineales y no lineales) con el propósito de encontrar la mejor combinación de variables que garanticen un buen desempeño del sistema en cuanto a precisión, coste computacional y requerimientos de energía, los cuales son aspectos esenciales en dispositivos portátiles con suministro de energía mediante baterías. En concreto, proponemos dos MSV multiclase para la clasificación de actividad: un algoritmo lineal que permite el balance entre la reducción de la dimensionalidad y la precisión del sistema; y asimismo presentamos un algoritmo no lineal conveniente para dispositivos con limitaciones de hardware que solo utiliza aritmética de punto fijo en la fase de predicción y que permite reducir la complejidad del modelo de aprendizaje mientras mantiene el rendimiento del sistema.La eficacia del sistema propuesto es verificada a través de una experimentación extensiva sobre la base de datos RAH que hemos generado y hecho pública en la red. Esta contiene la información inercial obtenida de un grupo de 30 participantes que realizaron una serie de actividades de la vida cotidiana en un ambiente controlado mientras tenían sujeto a su cintura un smartphone que capturaba su movimiento.Los resultados obtenidos en esta investigación demuestran que es posible realizar el RAH en tiempo real con una precisión cercana al 97%. De esta manera, podemos emplear la metodología propuesta en aplicaciones de alto nivel que requieran el RAH tales como monitorizaciones ambulatorias para personas dependientes (ej. ancianos o discapacitados) durante periodos mayores a cinco días sin la necesidad de recarga de baterías.

    Cotutela Universitat Politècnica de Catalunya i Università degli Studi di Genova

    Human Activity Recognition (HAR) is a multidisciplinary research field that aims to gather data regarding people's behavior and their interaction with the environment in order to deliver valuable context-aware information. It has nowadays contributed to develop human-centered areas of study such as Ambient Intelligence and Ambient Assisted Living, which concentrate on the improvement of people's Quality of Life. The first stage to accomplish HAR requires to make observations from ambient or wearable sensor technologies. However, in the second case, the search for pervasive, unobtrusive, low-powered, and low-cost devices for achieving this challenging task still has not been fully addressed. In this thesis, we explore the use of smartphones as an alternative approach for performing the identification of physical activities. These self-contained devices, which are widely available in the market, are provided with embedded sensors, powerful computing capabilities and wireless communication technologies that make them highly suitable for this application. This work presents a series of contributions regarding the development of HAR systems with smartphones. In the first place we propose a fully operational system that recognizes in real-time six physical activities while also takes into account the effects of postural transitions that may occur between them. For achieving this, we cover some research topics from signal processing and feature selection of inertial data, to Machine Learning approaches for classification. We employ two sensors (the accelerometer and the gyroscope) for collecting inertial data. Their raw signals are the input of the system and are conditioned through filtering in order to reduce noise and allow the extraction of informative activity features. We also emphasize on the study of Support Vector Machines (SVMs), which are one of the state-of-the-art Machine Learning techniques for classification, and reformulate various of the standard multiclass linear and non-linear methods to find the best trade off between recognition performance, computational costs and energy requirements, which are essential aspects in battery-operated devices such as smartphones. In particular, we propose two multiclass SVMs for activity classification:one linear algorithm which allows to control over dimensionality reduction and system accuracy; and also a non-linear hardware-friendly algorithm that only uses fixed-point arithmetic in the prediction phase and enables a model complexity reduction while maintaining the system performance. The efficiency of the proposed system is verified through extensive experimentation over a HAR dataset which we have generated and made publicly available. It is composed of inertial data collected from a group of 30 participants which performed a set of common daily activities while carrying a smartphone as a wearable device. The results achieved in this research show that it is possible to perform HAR in real-time with a precision near 97\% with smartphones. In this way, we can employ the proposed methodology in several higher-level applications that require HAR such as ambulatory monitoring of the disabled and the elderly during periods above five days without the need of a battery recharge. Moreover, the proposed algorithms can be adapted to other commercial wearable devices recently introduced in the market (e.g. smartwatches, phablets, and glasses). This will open up new opportunities for developing practical and innovative HAR applications.

    El Reconocimiento de Actividades Humanas (RAH) es un campo de investigación multidisciplinario que busca recopilar información sobre el comportamiento de las personas y su interacción con el entorno con el propósito de ofrecer información contextual de alta significancia sobre las acciones que ellas realizan. Recientemente, el RAH ha contribuido en el desarrollo de áreas de estudio enfocadas a la mejora de la calidad de vida del hombre tales como: la inteligència ambiental (Ambient Intelligence) y la vida cotidiana asistida por el entorno para personas dependientes (Ambient Assisted Living). El primer paso para conseguir el RAH consiste en realizar observaciones mediante el uso de sensores fijos localizados en el ambiente, o bien portátiles incorporados de forma vestible en el cuerpo humano. Sin embargo, para el segundo caso, aún se dificulta encontrar dispositivos poco invasivos, de bajo consumo energético, que permitan ser llevados a cualquier lugar, y de bajo costo. En esta tesis, nosotros exploramos el uso de teléfonos móviles inteligentes (Smartphones) como una alternativa para el RAH. Estos dispositivos, de uso cotidiano y fácilmente asequibles en el mercado, están dotados de sensores embebidos, potentes capacidades de cómputo y diversas tecnologías de comunicación inalámbrica que los hacen apropiados para esta aplicación. Nuestro trabajo presenta una serie de contribuciones en relación al desarrollo de sistemas para el RAH con Smartphones. En primera instancia proponemos un sistema que permite la detección de seis actividades físicas en tiempo real y que, además, tiene en cuenta las transiciones posturales que puedan ocurrir entre ellas. Con este fin, hemos contribuido en distintos ámbitos que van desde el procesamiento de señales y la selección de características, hasta algoritmos de Aprendizaje Automático (AA). Nosotros utilizamos dos sensores inerciales (el acelerómetro y el giroscopio) para la captura de las señales de movimiento de los usuarios. Estas han de ser procesadas a través de técnicas de filtrado para la reducción de ruido, segmentación y obtención de características relevantes en la detección de actividad. También hacemos énfasis en el estudio de Máquinas de soporte vectorial (MSV) que son uno de los algoritmos de AA más usados en la actualidad. Para ello reformulamos varios de sus métodos estándar (lineales y no lineales) con el propósito de encontrar la mejor combinación de variables que garanticen un buen desempeño del sistema en cuanto a precisión, coste computacional y requerimientos de energía, los cuales son aspectos esenciales en dispositivos portátiles con suministro de energía mediante baterías. En concreto, proponemos dos MSV multiclase para la clasificación de actividad: un algoritmo lineal que permite el balance entre la reducción de la dimensionalidad y la precisión del sistema; y asimismo presentamos un algoritmo no lineal conveniente para dispositivos con limitaciones de hardware que solo utiliza aritmética de punto fijo en la fase de predicción y que permite reducir la complejidad del modelo de aprendizaje mientras mantiene el rendimiento del sistema. La eficacia del sistema propuesto es verificada a través de una experimentación extensiva sobre la base de datos RAH que hemos generado y hecho pública en la red. Esta contiene la información inercial obtenida de un grupo de 30 participantes que realizaron una serie de actividades de la vida cotidiana en un ambiente controlado mientras tenían sujeto a su cintura un smartphone que capturaba su movimiento. Los resultados obtenidos en esta investigación demuestran que es posible realizar el RAH en tiempo real con una precisión cercana al 97%. De esta manera, podemos emplear la metodología propuesta en aplicaciones de alto nivel que requieran el RAH tales como monitorizaciones ambulatorias para personas dependientes (ej. ancianos o discapacitados) durante periodos mayores a cinco días sin la necesidad de recarga de baterías.

  • A Computational creativity system to support chocolate designers decisions

     Ruiz Vegas, Francisco Javier; Raya Giner, Cristobal; Sama Monsonis, Albert; Agell Jané, Núria
    DOI: 10.3233/978-1-61499-452-7-87
    Date of publication: 2014-10-23
    Book chapter

    Read the abstract Read the abstract View View Open in new window  Share Reference managers Reference managers Open in new window

    In this paper, a new formulation of the central ideas of the well-established theory of Boden about creativity is presented. This new formulation redefines some terms and reviews the formal mechanisms of exploratory and transformational creativity. The presented approach is based on the conceptual space proposed by Boden and formalized by other authors in a way that facilitates the implementation of these mechanisms. The presented formulation is applied to a the real case of creative designing in which a new combination of chocolate and fruit is desired. The experimentation has been conducted jointly with a Spanish chocolate chef. Data collected from the chef has been used to validate the proposed system. Experimental results show that the formulation presented is not only useful for understanding how the creative mechanisms of design works, but also facilitates its implementation in real cases to support creativity processes.

  • TRATAMIENTO DEL DOLOR Y LA ANSIEDAD BASADO EN LA INTERACCION DE ROBOTS SOCIALES CON

     Diaz Boladeras, Marta; Raya Giner, Cristobal; Aguilar Castillo, Wilbert Geovanny; Angulo Bahón, Cecilio
    Competitive project

     Share

  • Detection of Gait Parameters, Bradykinesia, and Falls in Patients with Parkinson's Disease by Using a Unique Triaxial Accelerometer

     Rodríguez Molinero, Alejandro; Sanz, P.; Sama Monsonis, Albert; Calopa, M.; Romagosa Cabús, Jaume; Galvez, A.; Pérez Martínez, David Andrés; Perez Lopez, Carlos; Català, C.
    Movement disorders
    Vol. 25, p. S646
    Date of publication: 2010-09-15
    Journal article

     Share Reference managers Reference managers Open in new window

  • HOME-BASED EMPOWERED LIVING FOR PARKINSON'S DISEASENS PATIENTS

     Angulo Bahón, Cecilio; Sama Monsonis, Albert; Català Mallofré, Andreu; Pardo Ayala, Diego Esteban; Raya Giner, Cristobal; Perez Lopez, Carlos; Romagosa Cabús, Jaume; Rodriguez Martin, Daniel Manuel; Cabestany Moncusi, Joan
    Competitive project

     Share