ActiDote : a wireless sensor-based system for self-tracking activity levels among manual wheelchair users

Satizabal, Héctor F. (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Grillon, Alexandre (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Picasso, Giacomo (ISSUL, University of Lausanne (UNIL), Lausanne, Switzerland) ; Upegui, Andres (School of Engineering, Architecture and Landscape (hepia), HES-SO // University of Applied Sciences Western Switzerland) ; Millet, Grégoire (ISSUL, University of Lausanne (UNIL), Lausanne, Switzerland) ; Perez-Uribe, Andrès (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland)

ActiDote –activity as an antidote– is a system for manual wheelchair users that takes advantage of wireless sensors to recognize activities of various intensity levels in order to allow self-tracking of the physical activity. 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 on classifying activity levels and assessing energy expenditure during wheelchair propulsion on ramps of dierent slopes and speeds. Our results indicate that it is possible to implement a system that uses the accelerometer of a smartphone as the only sensor in the wheelchair, i.e., by attaching it to the wheelchair frame. Additionally, the user might wear a smartwatch equipped with an accelerometer to enrich the system and enhance its performance.


Keywords:
Article Type:
scientifique
Faculty:
Ingénierie et Architecture
School:
HEPIA - Genève
HEIG-VD
Institute:
IICT - Institut des Technologies de l'Information et de la Communication
inIT - Institut d'Ingénierie Informatique et des Télécommunications
Date:
2017-07
Pagination:
12 p.
Published in:
EAI Endorsed Transactions on Pervasive Health and Technology
Numeration (vol. no.):
2017, vol. 3, no. 11
DOI:
ISSN:
2411-7145
Appears in Collection:



 Record created 2020-07-10, last modified 2020-07-14

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