心理科学进展2016，Vol.24Issue(4)：484-493,10.DOI:10.3724/SP.J.1042.2016.00484
基于动态特征的真伪笑容表达与识别
The expression and recognition of genuine and disguised smiles based on dynamic information
摘要
Abstract
The smile is the most common and frequently expressed facial expression. Human beings have evolved ways to fake smiles, and developed the ability to detect the disguise. Dynamic information of facial movements has been shown to be essential in both expressing and recognition of facial expressions. The underlying dynamic information of smiles may be investigated to better differentiate between fake and genuine smiles. With the aids of feature extraction methods from Computer Vision, we investigate the dynamic features of smiles (such as the duration, direction, velocity, smoothness, dynamic symmetry, and synchronicity and head motion patterns). Furthermore, we investigate how various dynamic features of genuine and fake smiles may differ across different situations to further our understanding of the human smile. We also aim to investigate the underlying mechanism of individual's ability to distinguish between genuine and fake smiles. We examined whether paying attention to effective dynamic features would help improve recognition performance, and test the perception-attention hypothesis. By comparing the features of smiles and examining the underlying mechanism behind people’s ability to recognize the veracity of smiles. We can obtain a better understanding of the relationship between encoding and decoding of the facial expressions.关键词
表情/笑容/表情识别/动态特征/伪装Key words
facial expression/smile/facial expression recognition/dynamic features/disguise分类
社会科学引用本文复制引用
颜文靖,陈美芬,盛建森..基于动态特征的真伪笑容表达与识别[J].心理科学进展,2016,24(4):484-493,10.基金项目
国家自然科学基金项目(31500875)支持。 （31500875）
