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A wireless sensor-based system for self-tracking activity levels among manual wheelchair users

Grillon, Alexandre; Perez-Uribe, Andres; Satizábal, Héctor F.; Gantel, Laurent; Da Silva Andrade, David; Upegui, Andres; Degache, Francis
2016
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Résumé

ActiDote —activity as an antidote— is a system for manual wheelchair users that uses wireless sensors to recognize activities of various intensity levels in order to allow self-tracking while providing motivation. In this paper, we describe both the hardware setup and the software pipeline that enable our system to operate. Laboratory tests using multi-modal fusion and machine learning reveal promising results attaining a F1-score classification performance of 0.97 on five different wheelchair-based activities belonging to four intensity levels. Finally, we show that such a low cost system can be used for an easy self-monitoring of physical activity levels among manual wheelchair users.

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Titre
A wireless sensor-based system for self-tracking activity levels among manual wheelchair users
Auteur(s)/ trice(s)
Grillon, Alexandre (School of Management and Engineering Vaud, HES-SO University of Applied Sciences Western Switzerland ; University of Applied Sciences and Arts of Western Switzerland (HES-SO), Delémont, Switzerland)
Perez-Uribe, Andres (School of Management and Engineering Vaud, HES-SO University of Applied Sciences Western Switzerland ; University of Applied Sciences and Arts of Western Switzerland (HES-SO), Delémont, Switzerland)
Satizábal, Héctor F. (School of Management and Engineering Vaud, HES-SO University of Applied Sciences Western Switzerland ; University of Applied Sciences and Arts of Western Switzerland (HES-SO), Delémont, Switzerland)
Gantel, Laurent (School of Engineering, Architecture and Landscape (hepia), HES-SO University of Applied Sciences Western Switzerland ; University of Applied Sciences and Arts of Western Switzerland (HES-SO), Delémont, Switzerland)
Da Silva Andrade, David (School of Engineering, Architecture and Landscape (hepia), HES-SO University of Applied Sciences Western Switzerland ; University of Applied Sciences and Arts of Western Switzerland (HES-SO), Delémont, Switzerland)
Upegui, Andres (School of Engineering, Architecture and Landscape (hepia), HES-SO University of Applied Sciences Western Switzerland ; University of Applied Sciences and Arts of Western Switzerland (HES-SO), Delémont, Switzerland)
Degache, Francis (HESAV Haute Ecole de Santé Vaud, HES-SO Haute école spécialisée de Suisse occidentale) ; University of Applied Sciences and Arts of Western Switzerland (HES-SO), Delémont, Switzerland)
Date
2016-12
Publié dans
eHealth 360° : Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Publié par
Cham, Springer
Pagination & équivalents
pp. 229-240
ISBN
978-3-319-49654-2
DOI
https://doi.org/10.1007/978-3-319-49655-9_31
ISSN
1867-8211
Collection et n°
LNICST, vol. 181
Mots-clés (libres)
self-tracking ; wheelchair ; handicap ; wireless sensors ; wearables ; machine learning
Domaine
Ingénierie et Architecture
Santé
Ecole
HEPIA - Genève
HEIG-VD
HESAV
Institut
IICT - Institut des Technologies de l'Information et de la Communication
inIT - Institut d'Ingénierie Informatique et des Télécommunications
Unité de recherche en santé, HESAV
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