Detection of Genuine and Posed Facial Expressions of Emotion: A Review

• URL: http://arxiv.org/abs/2008.11353v1
• Date: Wed, 26 Aug 2020 02:49:32 GMT
• Title: Detection of Genuine and Posed Facial Expressions of Emotion: A Review
• Authors: Shan Jia, Shuo Wang, Chuanbo Hu, Paula Webster, Xin Li
• Abstract summary: Discrimination of genuine (spontaneous) expressions from posed(deliberate/volitional/deceptive) ones is a crucial yet challenging task in facial expression understanding. This paper presents a general review of the relevant research, including several spontaneous vs. posed (SVP) facial expression databases and various computer vision based detection methods.
• Score: 14.017423779272617
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Facial expressions of emotion play an important role in human social interactions. However, posed acting is not always the same as genuine feeling. Therefore, the credibility assessment of facial expressions, namely, the discrimination of genuine (spontaneous) expressions from posed(deliberate/volitional/deceptive) ones, is a crucial yet challenging task in facial expression understanding. Rapid progress has been made in recent years for automatic detection of genuine and posed facial expressions. This paper presents a general review of the relevant research, including several spontaneous vs. posed (SVP) facial expression databases and various computer vision based detection methods. In addition, a variety of factors that will influence the performance of SVP detection methods are discussed along with open issues and technical challenges.

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