DocumentCode :
1609480
Title :
A personalized exercise trainer for elderly
Author :
Steffen, Daniel ; Bleser, Gabriele ; Weber, Markus ; Stricker, Didier ; Fradet, Laetitia ; Marin, Frédéric
Author_Institution :
Dept. Augmented Vision, German Res. Center for Artificial Intell. (DFKI) GmbH, Kaiserslautern, Germany
fYear :
2011
Firstpage :
24
Lastpage :
31
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.
Keywords :
body sensor networks; diseases; geriatrics; medical computing; patient rehabilitation; wearable computers; disease risk reduction; elderly people; personalized home-based exercise trainer; physical activity; physiological benefits; supervised teach-in phase; wearable sensor network; Hidden Markov models; Joints; Monitoring; Senior citizens; Sensors; Software; Training; HCI; health promotion; home-based rehabilitation; personalization; physical activity monitoring; wearable sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011 5th International Conference on
Conference_Location :
Dublin
Print_ISBN :
978-1-61284-767-2
Type :
conf
Filename :
6038765
Link To Document :
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