Affective wear: 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. We present the eyewear that can detect facial expression anytime, anywhere (Figure 1 a). This eyewear can categorize 7 facial expressions by measuring the distance between an eyewear frame and a skin surface of a person's face with 8 photo reflective sensors. Recognizable states are as follows: neutral, smile, laugh, disgust, angry, sad and surprise. With our method, an individual difference can be ignored with user-dependent training. Several works show the wearable systems that can recognize facial expression. Yet, these works focus on detecting only one specific facial expression. Our contribution is detecting 7 facial expression states in daily life. With our device, user can better understand their mind, and computing systems can tap into the rich set of information provided by nonverbal communication.

本文言語English
ホスト出版物のタイトルACM SIGGRAPH 2015 Posters, SIGGRAPH 2015
出版社Association for Computing Machinery, Inc
ISBN(印刷版)9781450336321
DOI
出版ステータスPublished - 2015 7 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 92015 8 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

  • Computer Graphics and Computer-Aided Design
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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