Presentation 2021-12-17
Adaptive Information Presentation Based on Person State Recognition
Sota Morita, Shinya Fukumoto, Masayuki Kashima, Mutsumi Watanabe,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose an adaptive information presentation system based on person state recognition. The system uses posture estimation using OpenPose and OpenPifPaf, feature point extraction using posture estimation, and age and gender estimation using machine learning. We discussed the effects and internal states of presenting and switching information to a person who is walking and watching.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Human state recognition / Internal state estimation / Pose estimation / Digital signage
Paper # PRMU2021-57
Date of Issue 2021-12-09 (PRMU)

Conference Information
Committee PRMU
Conference Date 2021/12/16(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Seiichi Uchida(Kyushu Univ.)
Vice Chair Masakazu Iwamura(Osaka Pref. Univ.) / Mitsuru Anpai(Denso IT Lab.)
Secretary Masakazu Iwamura(NTT) / Mitsuru Anpai(Tottori Univ.)
Assistant Kouta Yamaguchi(CyberAgent) / Yusuke Matsui(Univ. of Tokyo)

Paper Information
Registration To Technical Committee on Pattern Recognition and Media Understanding
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptive Information Presentation Based on Person State Recognition
Sub Title (in English)
Keyword(1) Human state recognition
Keyword(2) Internal state estimation
Keyword(3) Pose estimation
Keyword(4) Digital signage
1st Author's Name Sota Morita
1st Author's Affiliation Kagoshima University(Kagoshima Univ.)
2nd Author's Name Shinya Fukumoto
2nd Author's Affiliation Kagoshima University(Kagoshima Univ.)
3rd Author's Name Masayuki Kashima
3rd Author's Affiliation Kagoshima University(Kagoshima Univ.)
4th Author's Name Mutsumi Watanabe
4th Author's Affiliation Kagoshima University(Kagoshima Univ.)
Date 2021-12-17
Paper # PRMU2021-57
Volume (vol) vol.121
Number (no) PRMU-304
Page pp.pp.182-187(PRMU),
#Pages 6
Date of Issue 2021-12-09 (PRMU)