A Systematic Literature Review of Recognition of Compound Facial Expression of Emotions

Sana Ullah, Wenhong Tian
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引用次数: 5

Abstract

Recently, emotion recognition has gained increasing attention in various fields. Human facial expression plays key role in daily interaction among people. The understanding of different categories of facial expression is crucial in perceptual interfaces, computational models, and human cognition and even in every field of life. The basic facial expression of emotions is categorized into seven groups which are including neutral, disgust, fear, anger, surprise, sadness and happiness. The compound facial expression produced from the combination of some of the basic emotions. However, there has been no survey article on Compound Facial Expression of Emotions. In this article, we present survey on recognition, research methodologies and applications of Compound Facial Expression of Emotions. Diverse types of datasets/databases for the recognition of compound facial expressions of emotion with their pros and cons have been discussed on detail. Furthermore, different research methods along with advantages, disadvantages and possible future improvements are also deliberated. In the last, opportunities and challenges are enlisted.
面部情绪复合表情识别的系统文献综述
近年来,情绪识别在各个领域受到越来越多的关注。人类的面部表情在人们的日常交往中起着关键作用。对不同类别面部表情的理解在感知界面、计算模型、人类认知甚至生活的每个领域都是至关重要的。基本的面部表情被分为七组,包括中性、厌恶、恐惧、愤怒、惊讶、悲伤和快乐。复合面部表情是由一些基本情绪组合而成的。然而,目前还没有关于情绪面部复合表情的调查文章。本文就复合表情识别、研究方法及应用等方面进行综述。详细讨论了用于识别复合面部情绪表情的各种类型的数据集/数据库及其优缺点。此外,还讨论了不同的研究方法及其优缺点和未来可能的改进。最后,列举了机遇和挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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