Paper Info
Title
An estimation of wheelchair user's muscle fatigue by accelerometers on smart devices
Abstract
This paper introduces an automatic road accessibility information collecting system inspired by human action sensing technologies of wheelchair users. The system aims to estimate a road accessibility caused by environmental factors, e.g. curbs and gaps, which directly influence wheelchair bodies, and also physiological factors, e.g. the wheelchair user's fatigue resulted by the environmental factors. We report that wheelchair user's fatigue influences wheelchair's action data sensed by accelerometer mounted on iPod touch. This paper contributes to discovering patterns of accelerations each of wheelchair user's fatigue and non-fatigue by clustering pushing wheel action data.
Year
DOI
Venue
2015
10.1145/2800835.2800864
UbiComp/ISWC Adjunct
Field
DocType
Citations 
Wheelchair,Computer science,Simulation,Accelerometer,Wheelchair user,Muscle fatigue,Cluster analysis,Embedded system
Conference
2
PageRank 
References 
Authors
0.37
1
4
Name
Order
Citations
PageRank
Koya Nagamine120.37
Yusuke Iwasawa22610.78
Yutaka Matsuo32966193.76
Ikuko Eguchi Yairi46714.16