Presentation 2020-09-08
Preliminary study on chair recognition based on CNN for the visually impaired
Yuji Harada, Hotaka Takizawa, Akihisa Ohya, Makoto Kobayashi,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this report, we propose two seat recognition methods for visually impaired persons using images taken by smartphone cameras. One is a recognition method based on whole images, and the other is a patch-based recognition method, which recognizes seats from the positional relationship among sitting surfaces, armrests, and legs. Experimental results are shown.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) the visually impaired / CNN / seat / recognition
Paper # WIT2020-5
Date of Issue 2020-09-01 (WIT)

Conference Information
Committee WIT
Conference Date 2020/9/8(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online meeting
Topics (in Japanese) (See Japanese page)
Topics (in English) Well-being Information Technology, etc.
Chair Daisuke Wakatsuki(Tsukuba Univ. of Tech.)
Vice Chair Shinji Sakou(Nagoya Inst. of Tech.)
Secretary Shinji Sakou(Saitama Industrial Tech. Center)
Assistant Manabi Miyagi(Tsukuba Univ. of Tech.) / Minako Hosono(AIST) / Aki Sugano(Nagoya Univ.)

Paper Information
Registration To Technical Committee on Well-being Information Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Preliminary study on chair recognition based on CNN for the visually impaired
Sub Title (in English)
Keyword(1) the visually impaired
Keyword(2) CNN
Keyword(3) seat
Keyword(4) recognition
1st Author's Name Yuji Harada
1st Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
2nd Author's Name Hotaka Takizawa
2nd Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
3rd Author's Name Akihisa Ohya
3rd Author's Affiliation University of Tsukuba(Univ. of Tsukuba)
4th Author's Name Makoto Kobayashi
4th Author's Affiliation Tsukuba University of Technology(Tsukuba Univ. of Tech.)
Date 2020-09-08
Paper # WIT2020-5
Volume (vol) vol.120
Number (no) WIT-161
Page pp.pp.1-2(WIT),
#Pages 2
Date of Issue 2020-09-01 (WIT)