Human-humanoid robot social interaction: Laughter
Human-humanoid robot social interaction: Laughter
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DOI：
10.1109/robio.2013.6739661
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发表时间：
2013
期刊：
影响因子：
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通讯作者：
S. Cosentino;T. Kishi;M. Zecca;S. Sessa;L. Bartolomeo;K. Hashimoto;Takashi Nozawa;A. Takanishi-
中科院分区：
文献类型：
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作者：
S. Cosentino;T. Kishi;M. Zecca;S. Sessa;L. Bartolomeo;K. Hashimoto;Takashi Nozawa;A. Takanishi-
在本文中，我们描述了一个人的手势识别系统，使人形机器人理解非语言的人类社会行为，我们提出了初步的实验结果，以证明所提出的方法的可行性。特别是，我们专注于检测和识别笑声，这是一种非常特殊的人类社会信号。事实上，尽管笑是一种直接的社会互动形式，但它被归类为半自愿行为，可以由几种不同的刺激引起，并且与积极情绪和身体健康密切相关。识别并进一步引发笑声的可能性将有助于人形机器人以更自然的方式与人类互动，建立积极的关系，从而更好地融入人类社会。
In this paper, we describe a human gesture recognition system developed to make a humanoid robot understand non-verbal human social behaviors, and we present the results of preliminary experiments to demonstrate the feasibility of the proposed method. In particular, we have focused on the detection and recognition of laughter, a very peculiar human social signal. In fact, although it is a direct form of social interaction, laughter is classified as semi voluntary action, can be elicited by several different stimuli, and it is strongly associated with positive emotion and physical well-being. The possibility of recognize, and further elicit laughter, will help the humanoid robot to interact in a more natural way with humans, to build positive relationships and thus be more socially integrated in the human society.