Poster: Mapping natural facial expressions using unsupervised learning and optical sensors on smart eyewear

研究成果: Conference contribution

抄録

Our communication highly depends on nonverbal clues, especially on facial expressions. This paper presents the mapping of spontaneous facial expressions in daily conversation using the optical sensors on smart eyewear and unsupervised learning method(Self-Organizing Map) to see the potentially detectable expressions. We had the case study of five to ten minutes of the unscripted communications with five users. It showed that our system could map the various facial expressions of the users such as social smile and the smile of enjoyment. The study also demonstrated that the map trained with the datasets of five users could categorize the similar expressions of each user into the shared clusters among the users.

本文言語English
ホスト出版物のタイトルUbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
出版社Association for Computing Machinery, Inc
ページ158-161
ページ数4
ISBN(電子版)9781450359665
DOI
出版ステータスPublished - 2018 10 8
イベント2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore
継続期間: 2018 10 82018 10 12

出版物シリーズ

名前UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers

Other

Other2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
CountrySingapore
CitySingapore
Period18/10/818/10/12

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Information Systems

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