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

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

Abstract

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.

Original languageEnglish
Title of host publicationUbiComp/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
PublisherAssociation for Computing Machinery, Inc
Pages158-161
Number of pages4
ISBN (Electronic)9781450359665
DOIs
Publication statusPublished - 2018 Oct 8
Event2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 - Singapore, Singapore
Duration: 2018 Oct 82018 Oct 12

Publication series

NameUbiComp/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

Keywords

  • Facial Expression
  • Unsupervised Learning
  • Wearable Computing

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Information Systems

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