Presentation 2019-08-23
[Tutorial Lecture] Fundamentals and applications of Social Signal Processing
Shogo Okada,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) The objective of Social Signal Processing (SSP) is to develop computational models for recognizing human social signals and social behaviors like turn-taking, politeness, and dis/agreement [Vinciarelli et al. 2009]. Fundamentals and applications of SSP are presented in this tutorial.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Social Signal Processing / Multimodal Interaction / Multimedia / Machine Learning / Social Science
Paper # HCS2019-31
Date of Issue 2019-08-16 (HCS)

Conference Information
Committee HCS
Conference Date 2019/8/23(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Jikei Institute
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Masafumi Matsuda(NTT)
Vice Chair Tomoo Inoue(Univ. of Tsukuba) / Yugo Hayashi(Ritsumeikan Univ.)
Secretary Tomoo Inoue(Kanazawa Inst. of Tech.) / Yugo Hayashi(Osaka Electro-Comm. Univ.)
Assistant Tomoko Kanda(Osaka Inst. of Tech.) / Kazuki Takashima(Tohoku Univ.) / Ken Fujiwara(Osaka Univ. of Economic) / Kazunori Terada(Gifu Univ.) / Atsushi Kimura(Nihon Univ.) / HUANG HUNGHSUAN(Riken)

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) [Tutorial Lecture] Fundamentals and applications of Social Signal Processing
Sub Title (in English)
Keyword(1) Social Signal Processing
Keyword(2) Multimodal Interaction
Keyword(3) Multimedia
Keyword(4) Machine Learning
Keyword(5) Social Science
1st Author's Name Shogo Okada
1st Author's Affiliation Japan Advanced Institute of Science and Technology(JAIST)
Date 2019-08-23
Paper # HCS2019-31
Volume (vol) vol.119
Number (no) HCS-179
Page pp.pp.13-14(HCS),
#Pages 2
Date of Issue 2019-08-16 (HCS)