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A personalized exercise trainer for the elderly

Bleser, Gabriele (författare)
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
Steffen, Daniel (författare)
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
Weber, Markus (författare)
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
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Hendeby, Gustaf, 1978- (författare)
Linköpings universitet,Tekniska högskolan,Reglerteknik
Stricker, Didier (författare)
German Research Center for Artificial Intelligence (DFKI), Kaiserslautern, Germany
Fradet, Laetitia (författare)
Université de Technologie de Compiègne, France
Marin, Frédéric (författare)
Université de Technologie de Compiègne, France
Ville, Nathalie (författare)
CIC-IT Inserm 804, Rennes, France
Carré, Francois (författare)
CIC-IT Inserm 804, Rennes, France
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 (creator_code:org_t)
2013
2013
Engelska.
Ingår i: Journal of Ambient Intelligence and Smart Environments. - 1876-1364 .- 1876-1372. ; 5:6, s. 547-562
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Regular and moderate physical activity practice provides many physiological benefits. It reduces the risk of disease outcomes and is the basis for proper rehabilitation after a severe disease. Aerobic activity and strength exercises are strongly recommended in order to maintain autonomy with ageing. Balanced activity of both types is important, especially to the elderly population. Several methods have been proposed to monitor aerobic activities. However, no appropriate method is available for controlling more complex parameters of strength exercises. Within this context, the present article introduces a personalized, home-based strength exercise trainer designed for the elderly. The system guides a user at home through a personalized exercise program. Using a network of wearable sensors the user's motions are captured. These are evaluated by comparing them to prescribed exercises, taking both exercise load and technique into account. Moreover, the evaluation results are immediately translated into appropriate feedback to the user in order to assist the correct exercise execution. Besides the direct feedback, a major novelty of the system is its generic personalization by means of a supervised teach-in phase, where the program is performed once under supervision of a physical activity specialist. This teach-in phase allows the system to record and learn the correct execution of exercises for the individual user and to provide personalized monitoring. The user-driven design process, the system development and its underlying activity monitoring methodology are described. Moreover, technical evaluation results as well as results concerning the usability of the system for ageing people are presented. The latter has been assessed in a clinical study with thirty participants of 60 years or older, some of them showing usual diseases or functional limitations observed in elderly population.

Ämnesord

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Medicinteknik -- Medicinsk apparatteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Medical Engineering -- Medical Equipment Engineering (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Annan teknik -- Interaktionsteknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies -- Interaction Technologies (hsv//eng)

Nyckelord

Physical activity monitoring
elderly
home-based rehabilitation
HCI
wearable sensors
health promotion
strength exercises
personalization
ambient assisted living

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