Commentary: The Dynamic Features of Lip Corners in Genuine and Posed Smiles

Frontiers in Psychology

Yingqi Li¹ 

关键词: facial recognition;    deep learning;    dynamic features;    smiles;    lip corners;   

DOI  :  10.3389/fpsyg.2018.01610

学科分类：心理学（综合）

来源: Frontiers

【 摘 要 】

For thousands of years of human history, we have learned how to fake or hide our genuine feelings and emotions to people around us intentionally or unconsciously. It is, indeed, an irony that this is what we view as emotional intelligence, and which we practice to win people over, display our politeness, tackle dilemmas, and deal with other complicated situations. Posed smiles are one of the most common faked expressions in our daily life. Indeed, it is a challenge for the computer vision system to recognize the genuine smile apart from posed smiles of an individual, and this may be difficult to interpret by humans too sometimes. Recently, an interesting work by Guo et al. (Guo et al., 2018) employed computer vision techniques to investigate the potential differences in the duration, intensity, speed, symmetry of the lip corners, and certain irregularities between genuine and posed smiles based on the UvA-NEMO Smile Database. The results are quite rewarding since they found that genuine smiles were correlated with higher onset, offset, apex, and total duration, as well as offset displacement and irregularity-b, compared with posed smiles. In addition, posed smiles were correlated with higher onset and offset speeds, irregularity-a, symmetry-a, and symmetry-d.

【 授权许可】

CC BY