Research Article
A Wireless Sensor-Based System for Self-tracking Activity Levels Among Manual Wheelchair Users
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@INPROCEEDINGS{10.1007/978-3-319-49655-9_31, author={Alexandre Grillon and Andres Perez-Uribe and Hector Satizabal and Laurent Gantel and David Silva Andrade and Andres Upegui and Francis Degache}, title={A Wireless Sensor-Based System for Self-tracking Activity Levels Among Manual Wheelchair Users}, proceedings={eHealth 360°. International Summit on eHealth, Budapest, Hungary, June 14-16, 2016, Revised Selected Papers}, proceedings_a={EHEALTH360}, year={2017}, month={1}, keywords={Self-tracking Wheelchair Handicap Wireless sensors Wearables Machine learning}, doi={10.1007/978-3-319-49655-9_31} }
- Alexandre Grillon
Andres Perez-Uribe
Hector Satizabal
Laurent Gantel
David Silva Andrade
Andres Upegui
Francis Degache
Year: 2017
A Wireless Sensor-Based System for Self-tracking Activity Levels Among Manual Wheelchair Users
EHEALTH360
Springer
DOI: 10.1007/978-3-319-49655-9_31
Abstract
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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