Presentation	2021-03-16 Extracting Points of Interest from Facial Feature Time-Series Data by Changing Point Detection Kosuke Hirayama, Sachio Saiki, Masahide Nakamura,
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Abstract(in English)
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Keyword(in English)
Paper #	HCS2020-78
Date of Issue	2021-03-08 (HCS)

Conference Information
Committee	HCS
Conference Date	2021/3/15(2days)
Place (in Japanese)	(See Japanese page)
Place (in English)	Online
Topics (in Japanese)	(See Japanese page)
Topics (in English)	Human Communication during the Coronavirus Pandemic, etc.
Chair	Tomoo Inoue(Univ. of Tsukuba)
Vice Chair	Yugo Hayashi(Ritsumeikan Univ.) / Tomoko Kanda(Osaka Inst. of Tech.)
Secretary	Yugo Hayashi(Kanazawa Inst. of Tech.) / Tomoko Kanda(KDDI Research)
Assistant	Kazunori Terada(Gifu Univ.) / Atsushi Kimura(Nihon Univ.) / HUANG HUNGHSUAN(Univ. of Fukuchiyama) / Shigeyoshi Iizuka(Kanagawa Univ.) / Masashi Komori(Osaka Electro-Comm. Univ.) / Kazuki Takashima(Tohoku Univ.)

Paper Information
Registration To	Technical Committee on Human Communication Science
Language	JPN
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Extracting Points of Interest from Facial Feature Time-Series Data by Changing Point Detection
Sub Title (in English)
Keyword(1)
1st Author's Name	Kosuke Hirayama
1st Author's Affiliation	Kobe University(Kobe Univ.)
2nd Author's Name	Sachio Saiki
2nd Author's Affiliation	Kobe University(Kobe Univ.)
3rd Author's Name	Masahide Nakamura
3rd Author's Affiliation	Kobe University(Kobe Univ.)
Date	2021-03-16
Paper #	HCS2020-78
Volume (vol)	vol.120
Number (no)	HCS-432
Page	pp.pp.60-66(HCS),
#Pages	7
Date of Issue	2021-03-08 (HCS)