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

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

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.

本文言語	English
ホスト出版物のタイトル	ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015
出版社	Association for Computing Machinery, Inc
ISBN（印刷版）	9781450336352
DOI	https://doi.org/10.1145/2782782.2792495
出版ステータス	Published - 2015 7月 31
イベント	International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015 - Los Angeles, United States 継続期間: 2015 8月 9 → 2015 8月 13

Other

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

ASJC Scopus subject areas

人間とコンピュータの相互作用
コンピュータグラフィックスおよびコンピュータ支援設計
ソフトウェア

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10.1145/2782782.2792495

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引用スタイル

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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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.",

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",

year = "2015",

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day = "31",

doi = "10.1145/2782782.2792495",

language = "English",

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

publisher = "Association for Computing Machinery, Inc",

note = "International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015 ; Conference date: 09-08-2015 Through 13-08-2015",

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AU - Masai, Katsutoshi

AU - Sugiura, Yuta

AU - Ogata, Masa

AU - Suzuki, Katsuhiro

AU - Nakamura, Fumihiko

AU - Shimamura, Sho

AU - Kunze, Kai

AU - Inami, Masahiko

AU - Sugimoto, Maki

PY - 2015/7/31

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N2 - 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.

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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DO - 10.1145/2782782.2792495

M3 - Conference contribution

AN - SCOPUS:84957935547

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BT - ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015

PB - Association for Computing Machinery, Inc

Y2 - 9 August 2015 through 13 August 2015

ER -

AffectiveWear: Toward recognizing facial expression

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Other

ASJC Scopus subject areas

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