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The real-time facial imitation by a social humanoid robot

机译:人形社交机器人实时面部模仿

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Facial expression imitation with applications in the design of human robot interaction (HRI) systems is an active area of research. In this study, we propose an approach for real-time imitation of human facial expression by a humanoid social robot “Alice”. Artificial neural network (ANN) and Kinect sensor are used for recognition and classifying of the facial expressions like happiness, sadness, fear, anger and surprise; with the Alice humanoid robot imitating the comprehended expressions. Results and experiments demonstrate the effectiveness of the approach.
机译:面部表情模仿及其在人机交互(HRI)系统设计中的应用是一个活跃的研究领域。在这项研究中,我们提出了一种人形社交机器人“爱丽丝”实时模仿人脸表情的方法。人工神经网络(ANN)和Kinect传感器用于识别和分类面部表情,例如幸福,悲伤,恐惧,愤怒和惊奇;用爱丽丝人形机器人模仿理解的表情。结果和实验证明了该方法的有效性。

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