AffectiveWear: Toward recognizing facial expression

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 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 languageEnglish
Title of host publicationACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015
PublisherAssociation for Computing Machinery, Inc
ISBN (Print)9781450336352
DOIs
Publication statusPublished - 2015 Jul 31
EventInternational Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015 - Los Angeles, United States
Duration: 2015 Aug 92015 Aug 13

Other

OtherInternational Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2015
CountryUnited States
CityLos Angeles
Period15/8/915/8/13

ASJC Scopus subject areas

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

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  • Cite this

    Masai, K., Sugiura, Y., Ogata, M., Suzuki, K., Nakamura, F., Shimamura, S., Kunze, K. S., Inami, M., & Sugimoto, M. (2015). AffectiveWear: Toward recognizing facial expression. In ACM SIGGRAPH 2015 Emerging Technologies, SIGGRAPH 2015 [a4] Association for Computing Machinery, Inc. https://doi.org/10.1145/2782782.2792495