The Chinese Facial Emotion Recognition Database (CFERD): A computer-generated 3-D paradigm to measure the recognition of facial emotional expressions at different intensities
高雄医科大学做的3D中国人脸部识别库以及验证研究
The Chinese Facial Emotion Recognition Database (CFERD): A computer-generated 3-D paradigm to measure the recognition of facial emotional expressions at different intensities
- Shen-Long Howng
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Abstract
The Chinese Facial Emotion Recognition Database (CFERD), a computer-generated three-dimensional (3D) paradigm, was developed to measure the recognition of facial emotional expressions at different intensities. The stimuli consisted of 3D colour photographic images of six basic facial emotional expressions (happiness, sadness, disgust, fear, anger and surprise) and neutral faces of the Chinese. The purpose of the present study is to describe the development and validation of CFERD with nonclinical healthy participants (N=100; 50 men; age ranging between 18 and 50 years), and to generate normative data set. The results showed that the sensitivity index d′ [d′=Z(hit rate)–Z(false alarm rate), where function Z(p), p∈[0,1]], for all emotions was 0.94. The emotion was more readily detected in happiness, and less easily detected in surprise and sadness. In general, this study replicated the previous findings on the recognition accuracy of emotional expression with the Westerner faces. However, our paradigm extends the previous work by including a wider sensitivity range to differentiate subtle perception of emotion intensities. The CFERD will be a useful tool for emotion recognition assessment in affective neurosciences research, especially for the Chinese and cross-cultural studies.
Keywords: Chinese, Facial emotion recognition, Facial emotional expressions, Computer-generated, Developing and standardisation,Intensity, 3D
用来做跨文化研究应该会比较有用，如果它的表情库包含了比较“内涵”的中国人的表情，包括更弱的表情的话，大概会比较有趣？用3D来模拟表情；可惜人种之间的重要特征是眼间距、五官分布的问题。所以如果做跨文化研究的话，还需要一个表情强烈度相当的西方人表情库？
“表情识别”和“表情强度识别”可能是有区分意义的？不知道如何区分“表情强烈程度”？
今天和一位学脑子的同学讨论了一下脸部识别的问题。发现，facial identity recognition和emotion recognition所用的cue是不一样的。现有研究发现identity recognition是通过五官的排列、整体的表现来识别的。emotion recognition则不确定，有可能是通过“部分”，也有可能是通过“整体”来识别的。所以，用mask（遮罩）来研究emotional recognition也许是有意义的？
不过
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