Presentation 2014-03-06
Visualization of indoor situation based pedestrian detection from footsteps
Takuya Kuno, Rei Hamakawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) To build a system that focuses on situational awareness of the area around the human ear, to estimate the pedestrian using a footstep. The implementation of the visualization system of indoor conditions in public facilities by having to work with "hue" of Philips.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Footsteps / Frequency analysis / Machine learning / Visualization
Paper # SIS2013-55
Date of Issue

Conference Information
Committee SIS
Conference Date 2014/2/27(1days)
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Registration To Smart Info-Media Systems (SIS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Visualization of indoor situation based pedestrian detection from footsteps
Sub Title (in English)
Keyword(1) Footsteps
Keyword(2) Frequency analysis
Keyword(3) Machine learning
Keyword(4) Visualization
1st Author's Name Takuya Kuno
1st Author's Affiliation Graduate School of Computer and Cognitive Science, Chukyo University()
2nd Author's Name Rei Hamakawa
2nd Author's Affiliation Graduate School of Computer and Cognitive Science, Chukyo University
Date 2014-03-06
Paper # SIS2013-55
Volume (vol) vol.113
Number (no) 467
Page pp.pp.-
#Pages 6
Date of Issue