Presentation 2015-01-26
Participatory Sensing of People Crowd Using Smartphones
Tomohiro NISHIMURA, Takamasa HIGUCHI, Hirozumi YAMAGUCHI, Teruo HIGASHINO,
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Abstract(in English) In this paper, we propose a novel system for estimating crowd density and smoothness of pedestrian flows in public space by participatory sensing with mobile phones. By analyzing walking motion of the pedestrians and ambient sound in the environment that can be monitored by accelerometers and microphones in off-the-shelf smartphones, our system classifies the current situation at each area into four categories that well represent the crowd behavior. Through field experiments using Android smartphones, we show that our system can recognize the current situation. In addition, we propose a reputation system to cope with some problems.
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Keyword(in English) Mobile sensing / Activity estimation / Crowd Sensing / Participatory sensing / Reputation System
Paper # MoNA2014-66
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Committee MoNA
Conference Date 2015/1/19(1days)
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Registration To Mobile Network and Applications(MoNA)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Participatory Sensing of People Crowd Using Smartphones
Sub Title (in English)
Keyword(1) Mobile sensing
Keyword(2) Activity estimation
Keyword(3) Crowd Sensing
Keyword(4) Participatory sensing
Keyword(5) Reputation System
1st Author's Name Tomohiro NISHIMURA
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Takamasa HIGUCHI
2nd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
3rd Author's Name Hirozumi YAMAGUCHI
3rd Author's Affiliation Graduate School of Information Science and Technology, Osaka University
4th Author's Name Teruo HIGASHINO
4th Author's Affiliation Graduate School of Information Science and Technology, Osaka University
Date 2015-01-26
Paper # MoNA2014-66
Volume (vol) vol.114
Number (no) 417
Page pp.pp.-
#Pages 6
Date of Issue