AffectiveWear: Toward recognizing facial expression

Katsutoshi Masai; Yuta Sugiura; Masa Ogata; Katsuhiro Suzuki; Fumihiko Nakamura; Sho Shimamura; Kai Kunze; Masahiko Inami; Maki Sugimoto

doi:10.1145/2782782.2792495

AffectiveWear: Toward recognizing facial expression

Katsutoshi Masai, Yuta Sugiura, Masa Ogata, Katsuhiro Suzuki, Fumihiko Nakamura, Sho Shimamura, Kai Kunze, Masahiko Inami, Maki Sugimoto

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

Facial expression is a powerful way for us to exchange information nonverbally. They can give us insights into how people feel and think. There are a number of works related to facial expression detection in computer vision. However, most works focus on camera-based systems installed in the environment. With this method, it is difficult to track user's face if user moves constantly. Moreover, user's facial expression can be recognized at only a limited place.

Original language	English
Title of host publication	ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015
Publisher	Association for Computing Machinery, Inc
ISBN (Print)	9781450336352
DOIs	https://doi.org/10.1145/2782782.2792495
Publication status	Published - 2015 Jul 31
Event	International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015 - Los Angeles, United States Duration: 2015 Aug 9 → 2015 Aug 13

Other

Other	International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015
Country/Territory	United States
City	Los Angeles
Period	15/8/9 → 15/8/13

ASJC Scopus subject areas

Human-Computer Interaction
Computer Graphics and Computer-Aided Design
Software

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10.1145/2782782.2792495

Cite this

AffectiveWear : Toward recognizing facial expression. / Masai, Katsutoshi; Sugiura, Yuta; Ogata, Masa; Suzuki, Katsuhiro; Nakamura, Fumihiko; Shimamura, Sho; Kunze, Kai; Inami, Masahiko; Sugimoto, Maki.

ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015. Association for Computing Machinery, Inc, 2015. a4.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Masai, K, Sugiura, Y, Ogata, M, Suzuki, K, Nakamura, F, Shimamura, S, Kunze, K, Inami, M & Sugimoto, M 2015, AffectiveWear: Toward recognizing facial expression. in ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015., a4, Association for Computing Machinery, Inc, International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015, Los Angeles, United States, 15/8/9. https://doi.org/10.1145/2782782.2792495

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author = "Katsutoshi Masai and Yuta Sugiura and Masa Ogata and Katsuhiro Suzuki and Fumihiko Nakamura and Sho Shimamura and Kai Kunze and Masahiko Inami and Maki Sugimoto",

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language = "English",

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booktitle = "ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015",

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AU - Suzuki, Katsuhiro

AU - Nakamura, Fumihiko

AU - Shimamura, Sho

AU - Kunze, Kai

AU - Inami, Masahiko

AU - Sugimoto, Maki

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AB - Facial expression is a powerful way for us to exchange information nonverbally. They can give us insights into how people feel and think. There are a number of works related to facial expression detection in computer vision. However, most works focus on camera-based systems installed in the environment. With this method, it is difficult to track user's face if user moves constantly. Moreover, user's facial expression can be recognized at only a limited place.

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ER -

AffectiveWear: Toward recognizing facial expression

Abstract

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ASJC Scopus subject areas

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