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.
|出版ステータス||Published - 2013 1月 1|
|イベント||2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013 - Shenzhen, China|
継続期間: 2013 12月 12 → 2013 12月 14
|Conference||2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013|
|Period||13/12/12 → 13/12/14|
ASJC Scopus subject areas
- コンピュータ サイエンスの応用