Title :
Recognizing fleeting facial expressions with different viewpoints
Author :
Xunbing Shen;Wenjing Yan;Xiaolan Fu
Author_Institution :
College of Humanities, Jiangxi University of Traditional Chinese Medicine, Nanchang, 330004, 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.
Keywords :
"Face recognition","Transient analysis","Emotion recognition","Psychology","Computers","Turning","Atmospheric measurements"
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2015 12th International Conference on
DOI :
10.1109/FSKD.2015.7382360