5th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

A Personalized Exercise Trainer for Elderly

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.245937,
        author={Daniel Steffen and Gabriele Bleser and Markus Weber and Didier Stricker and Laetitia Fradet and Frederic Marin},
        title={A Personalized Exercise Trainer for Elderly},
        proceedings={5th International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={4},
        keywords={physical activity monitoring home-based rehabilitation HCI wearable sensors health promotion personalization},
        doi={10.4108/icst.pervasivehealth.2011.245937}
    }
    
  • Daniel Steffen
    Gabriele Bleser
    Markus Weber
    Didier Stricker
    Laetitia Fradet
    Frederic Marin
    Year: 2012
    A Personalized Exercise Trainer for Elderly
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2011.245937
Daniel Steffen1, Gabriele Bleser1,*, Markus Weber1, Didier Stricker1, Laetitia Fradet2, Frederic Marin2
  • 1: German Research Center for Artificial Intelligence (DFKI) GmbH
  • 2: Universite de Technologie de Compiegne
*Contact email: Gabriele.Bleser@dfki.de

Abstract

Physical activity provides many physiological benefits. On the one hand it reduces the risk of disease outcomes. On the other hand it is the basis for proper rehabilitation in case of or after a severe disease. Both aspects are especially important for the elderly population. Within this context, the present paper proposes a personalized, home-based exercise trainer for elderly people. The system is based on a wearable sensor network that enables capturing the user’s motions. These are then evaluated by comparing them to a prescribed exercise, taking both exercise load and technique into account. Moreover, the results are translated into appropriate feedback to the user to assist the correct exercise execution. A novel part of the system is the generic personalization by means of a supervised teach-in phase.