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CETpD - Technical Research Centre for Dependency Care and Autonomous Living

Total activity: 926
Research group
Type of group
Specific research center
Rambla de l'Exposició, 61-69 Edifici NEAPOLIS Pl.2 Open in new window
08800 Vilanova i la Geltru
http://www.epsevg.upc.edu/cetpd//index.php Open in new window
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).
Ajut a la Dependència, CMOS-MEMS, Circuits Integrats, Detecció de Caigudes, Embedded Systems, Esport, Intel·ligència Artificial, Internet of Things, Malaltia de Parkinson, Sensors Integrats, Sistemes Encastats, Smart Sensors, eHealth, ioT
Fill in details (researchers incharge only)
  • Bano, Sophia
    (until 2015-02-04)
  • Biljman, Katarina
    (until 2016-07-13)
  • Del Moral Carmona, Sergi
    (until 2009-07-31)
  • Pardo Ayala, Diego Esteban
    (until 2012-05-04)
  • Parera Giro, Jordi
    (until 2009-10-11)
  • Perez Lopez, Carlos
    (until 2020-12-31)
  • Perugia, Giulia
    (until 2016-10-19)
  • Torrent Poch, Marc
    (until 2009-07-31)

Scientific and technological production

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