Human-Robot Interaction Using Markovian Emotional Model Based on Facial Recognition
Human-Robot Interaction Using Markovian Emotional Model Based on Facial Recognition
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DOI：
10.1109/scis-isis.2018.00044
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发表时间：
2018-12
期刊：
影响因子：
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通讯作者：
Y. Maeda;Shotaro Geshi
中科院分区：
文献类型：
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作者：
Y. Maeda;Shotaro Geshi
交互式情感交流（IEC）是研究人与机器人之间具有情感行为的交流。基于人类面部表情特征量的差异性，提出了一种基于马尔可夫情绪模型（MEM）的情感生成方法。例如，人们认为，当人的情绪发生变化时，生气的人哭出来的可能性比生气的人笑出来的可能性高。换句话说，一个特征类似的表情很容易作为情绪而改变。在本研究中，通过问卷调查发现情绪转移概率，并利用通信机器人与所提出的情绪转移进行交互实验。
Interactive emotion communication (IEC) is a research on the communication between human and robot with emotional behaviors. In this paper we propose a method of IEC for emotion generation using Markovian emotional model (MEM) based on the difference of the characteristic quantity in the facial expression of human by self-organizing map (SOM). For example, it is thought that an angry person bursting into tears is caused with high possibility than the angry person bursting into laughter when the emotion of person changes. In other words the expression which a characteristic resembles is easy to change as emotions. In this study, the emotion transition probability is found by the questionnaire, and an interaction experiment with the proposed emotion transition is carried out using a communication robot.