Instrumented shoes for activity classification in the elderly.

Details

Serval ID
serval:BIB_0F5D0A6B7102
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Instrumented shoes for activity classification in the elderly.
Journal
Gait and Posture
Author(s)
Moufawad El Achkar C., Lenoble-Hoskovec C., Paraschiv-Ionescu A., Major K., Büla C., Aminian K.
ISSN
1879-2219 (Electronic)
ISSN-L
0966-6362
Publication state
Published
Issued date
2016
Peer-reviewed
Oui
Volume
44
Pages
12-17
Language
english
Abstract
Quantifying daily physical activity in older adults can provide relevant monitoring and diagnostic information about risk of fall and frailty. In this study, we introduce instrumented shoes capable of recording movement and foot loading data unobtrusively throughout the day. Recorded data were used to devise an activity classification algorithm. Ten elderly persons wore the instrumented shoe system consisting of insoles inside the shoes and inertial measurement units on the shoes, and performed a series of activities of daily life as part of a semi-structured protocol. We hypothesized that foot loading, orientation, and elevation can be used to classify postural transitions, locomotion, and walking type. Additional sensors worn at the right thigh and the trunk were used as reference, along with an event marker. An activity classification algorithm was built based on a decision tree that incorporates rules inspired from movement biomechanics. The algorithm revealed excellent performance with respect to the reference system with an overall accuracy of 97% across all activities. The algorithm was also capable of recognizing all postural transitions and locomotion periods with elevation changes. Furthermore, the algorithm proved to be robust against small changes of tuning parameters. This instrumented shoe system is suitable for daily activity monitoring in elderly persons and can additionally provide gait parameters, which, combined with activity parameters, can supply useful clinical information regarding the mobility of elderly persons.
Pubmed
Web of science
Create date
29/03/2016 11:55
Last modification date
20/08/2019 12:36
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