A Sociable Human-Robot Interaction Scheme based on Body Emotion Analysis
Tehao Zhu; Zeyang Xia; Jiaqi Dong; Qunfei Zhao
刊名International Journal of Control, Automation and Systems
2018
文献子类期刊论文
英文摘要Many kinds of interaction schemes for human-robot interaction (HRI) have been reported in recent years. However, most of these schemes are realized by recognizing the human actions. Once the recognition algorithm fails, the robot’s reactions will not be able to proceed further. This issue is thoughtless in traditional HRI, but is the key point to further improve the fluency and friendliness of HRI. In this work, a sociable HRI (SoHRI) scheme based on body emotion analysis was developed to achieve reasonable and natural interaction while human actions were not recognized. First, the emotions from the dynamic movements and static poses of humans were quantified using Laban movement analysis. Second, an interaction strategy including a finite state machine model was designed to describe the transition regulations of the human emotion state. Finally, appropriate interactive behavior of the robot was selected according to the inferred human emotion state. The quantification effect of SoHRI was verified using the dataset UTD-MHAD, and the whole scheme was tested using questionnaires filled out by the participants and spectators. The experimental results showed that the SoHRI scheme can analyze the body emotion precisely, and help the robot make reasonable interactive behaviors
语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/14193]  
专题深圳先进技术研究院_医工所
推荐引用方式
GB/T 7714
Tehao Zhu,Zeyang Xia,Jiaqi Dong,et al. A Sociable Human-Robot Interaction Scheme based on Body Emotion Analysis[J]. International Journal of Control, Automation and Systems,2018.
APA Tehao Zhu,Zeyang Xia,Jiaqi Dong,&Qunfei Zhao.(2018).A Sociable Human-Robot Interaction Scheme based on Body Emotion Analysis.International Journal of Control, Automation and Systems.
MLA Tehao Zhu,et al."A Sociable Human-Robot Interaction Scheme based on Body Emotion Analysis".International Journal of Control, Automation and Systems (2018).
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