PSYCH OpenIR  > 脑与认知科学国家重点实验室
Recognizing Fleeting Facial Expressions with Different Viewpoints
Shen, XB (Shen, Xunbing)1; Yan, WJ (Yan, Wenjing)2; Fu, XL (Fu, Xiaolan)2
First AuthorShen, XB (Shen, Xunbing)
2015
Conference Name12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
Correspondent Emailfuxl@psych.ac.cn
Source Publication2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)
Volume不详
Issue不详
Pages2565-2569
Conference DateAUG 15-17, 2015
Conference PlaceZhangjiaiie, PEOPLES R CHINA
Abstract

Most research of facial expression recognition used static, front view and long-lasting stimuli of expressions. A paucity of research exists concerning recognition of the fleeting expressions from different viewpoints. To investigate how duration and viewpoints together influence the expression recognition, we employed expressions with two different viewpoints (three-quarters and profile views) and showed them to the participants transiently. The duration of expressions was one of the following: 20, 40, 80, 120, 160, 200, 240, or 280 ms. In experiment 1, we used static facial expressions; In experiment 2, we added dynamic information by adding two neutral expressions before and after the emotional expressions. The results showed an interaction effect between viewpoint and duration on expression recognition. Furthermore, we found that happiness is the easiest expression to recognize even under the conditions of fleeting presentation and side-view. This study informed the automatic expression recognition of human data under conditions of short duration and different viewpoints.

KeywordFacial Expressions Recognition Viewpoints Fleeting Duration
Language英语
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/26566
Collection脑与认知科学国家重点实验室
Affiliation1.Jiangxi Univ Tradit Chinese Med, Coll Humanities, Nanchang 330004, Jiangxi, Peoples R China
2.Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China
Recommended Citation
GB/T 7714
Shen, XB ,Yan, WJ ,Fu, XL . Recognizing Fleeting Facial Expressions with Different Viewpoints[C],2015:2565-2569.
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