Interdisciplinary Program in Cognitive Science, Seoul National University, Seoul 08826, Korea.
Dental Research Institute, Seoul National University, School of Dentistry, Seoul 08826, Korea.
Sensors (Basel). 2020 Feb 21;20(4):1199. doi: 10.3390/s20041199.
Research on emotion recognition from facial expressions has found evidence of different muscle movements between genuine and posed smiles. To further confirm discrete movement intensities of each facial segment, we explored differences in facial expressions between spontaneous and posed smiles with three-dimensional facial landmarks. Advanced machine analysis was adopted to measure changes in the dynamics of 68 segmented facial regions. A total of 57 normal adults (19 men, 38 women) who displayed adequate posed and spontaneous facial expressions for happiness were included in the analyses. The results indicate that spontaneous smiles have higher intensities for upper face than lower face. On the other hand, posed smiles showed higher intensities in the lower part of the face. Furthermore, the 3D facial landmark technique revealed that the left eyebrow displayed stronger intensity during spontaneous smiles than the right eyebrow. These findings suggest a potential application of landmark based emotion recognition that spontaneous smiles can be distinguished from posed smiles via measuring relative intensities between the upper and lower face with a focus on left-sided asymmetry in the upper region.
面部表情情感识别的研究发现,真实微笑和假装微笑之间存在不同的肌肉运动。为了进一步确认每个面部区域离散运动的强度,我们使用三维面部地标探索了自发微笑和假装微笑之间的表情差异。采用先进的机器分析来测量 68 个分段面部区域的动态变化。共有 57 名正常成年人(19 名男性,38 名女性)参与了分析,他们展示了足够的高兴的假装和自发面部表情。结果表明,自发微笑时,上面部的强度高于下面部。另一方面,假装微笑时下面部的强度更高。此外,3D 面部地标技术显示,自发微笑时左眉的强度比右眉更强。这些发现表明,基于地标情绪识别的潜在应用,通过测量上面部和下面部之间的相对强度,特别是在上部区域关注左侧的不对称性,可以区分自发微笑和假装微笑。