Presentation 2022-05-27
Estimation of appropriate work spots by machine learning based on relationships in an office environment.
Maho Abe, Ryusei Sugano, Yo Nakamura, Ryoichi Shinkuma,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English)
Keyword(in Japanese) (See Japanese page)
Keyword(in English)
Paper # SeMI2022-16
Date of Issue 2022-05-19 (SeMI)

Conference Information
Committee SeMI / IPSJ-DPS / IPSJ-MBL / IPSJ-ITS
Conference Date 2022/5/26(2days)
Place (in Japanese) (See Japanese page)
Place (in English)
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Topics (in English)
Chair Koji Yamamoto(Kyoto Univ.)
Vice Chair Kazuya Monden(Hitachi) / Yasunori Owada(NICT)
Secretary Kazuya Monden(Cyber Univ.) / Yasunori Owada(Waseda Univ.) / (Osaka Univ.)
Assistant Yuki Katsumata(NTT DOCOMO) / Akihito Taya(Aoyama Gakuin Univ.) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.)

Paper Information
Registration To Technical Committee on Sensor Network and Mobile Intelligence / Special Interest Group on Distributed Processing System / Special Interest Group on Mobile Computing and Pervasive Systems / Special Interest Group on Intelligent Transport Systems and Smart Community
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Estimation of appropriate work spots by machine learning based on relationships in an office environment.
Sub Title (in English)
Keyword(1)
1st Author's Name Maho Abe
1st Author's Affiliation Shibaura Institute of Technology(SIT)
2nd Author's Name Ryusei Sugano
2nd Author's Affiliation Shibaura Institute of Technology(SIT)
3rd Author's Name Yo Nakamura
3rd Author's Affiliation Shibaura Institute of Technology(SIT)
4th Author's Name Ryoichi Shinkuma
4th Author's Affiliation Shibaura Institute of Technology(SIT)
Date 2022-05-27
Paper # SeMI2022-16
Volume (vol) vol.122
Number (no) SeMI-46
Page pp.pp.75-78(SeMI),
#Pages 4
Date of Issue 2022-05-19 (SeMI)