Estimating Spatiotemporal Information from Behavioral Sensing Data of Wheelchair Users by Machine Learning Technologies

Estimating Spatiotemporal Information from Behavioral Sensing Data of Wheelchair Users by Machine Learning Technologies

Recent expansion of intelligent gadgets, such as smartphones and smart watches, familiarizes humans with sensing their activities. We have been developing a road accessibility evaluation system inspired by human sensing technologies. This paper introduces our methodology to estimate road accessibili...

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Bibliographic Details
Main Authors:	Ikuko Eguchi Yairi, Hiroki Takahashi, Takumi Watanabe, Kouya Nagamine, Yusuke Fukushima, Yutaka Matsuo, Yusuke Iwasawa
Format:	Article
Language:	English
Published:	MDPI AG 2019-03-01
Series:	Information
Subjects:	human sensing wheelchair road accessibility feature extraction deep learning
Online Access:	http://www.mdpi.com/2078-2489/10/3/114

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