姿态情绪识别研究综述  

Survey on gesture-based emotion recognition researches

作　　者：许芬[1] 闰文彬 张晓平 Xu Fen;Run Wenbin;Zhang Xiaoping(School of Electrical&Control Engineering,North China University of Technology,Beijing 100144,China)

机构地区：[1]北方工业大学电气与控制工程学院,北京100144

出　　处：《计算机应用研究》2021年第12期3521-3526,共6页Application Research of Computers

基　　金：国家自然科学基金项目(61903006);北京市自然科学基金项目(4204096)。

摘　　要：从姿态信息采集、姿态情绪特征提取、姿态情绪识别算法和姿态情绪数据库几个方面对国内外姿态情绪识别研究进行了全面的总结,分析了姿态情绪识别研究存在的难点和挑战,提出姿态情绪识别的关键是姿态情绪特征提取和姿态情绪数据库的建立,最后探讨了姿态情绪识别研究的发展方向。This paper discussed existing gesture-based emotion recognition researches from three aspects,such as gesture-related emotion expression features,emotion recognition algorithm and adopted emotional gesture datasets.It analyzed the difficulties and challenges for gesture-based emotion recognition research,and named two key tasks of gesture-based emotion recognition:extraction of emotion-expressive features from body posture and the build-up of emotion body gesture dataset.It discussed the potential directions of gesture-based emotion recognition research at the end.

关 键 词：情绪识别 姿态 情绪特征 情绪数据集 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]