

Author: Suh Kun Ha Kim Yoonkyoung Lee Eui Chul
Publisher: MDPI
E-ISSN: 2073-8994|8|9|86-86
ISSN: 2073-8994
Source: Symmetry, Vol.8, Iss.9, 2016-08, pp. : 86-86
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Facial muscle micro movements for eight emotions were induced via visual and auditory stimuli and were verified according to sex. Thirty-one main facial features were chosen from the Kinect API out of 121 initially obtained facial features; the average change of pixel value was measured after image alignment. The proposed method is advantageous as it allows for comparisons. Facial micro-expressions are analyzed in real time using 31 facial feature points. The amount of micro-expressions for the various emotion stimuli was comparatively analyzed for differences according to sex. Men’s facial movements were similar for each emotion, whereas women’s facial movements were different for each emotion. The six feature positions were significantly different according to sex; in particular, the inner eyebrow of the right eye had a confidence level of
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