Title :
Human-humanoid robot social interaction: Laughter
Author :
Cosentino, S. ; Kishi, T. ; Zecca, M. ; Sessa, S. ; Bartolomeo, L. ; Hashimoto, Koji ; Nozawa, Takuya ; Takanishi, A.
Author_Institution :
Grad. Sch. of Adv. Sci. & Eng., Waseda Univ., Tokyo, Japan
Abstract :
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.
Keywords :
emotion recognition; human-robot interaction; humanoid robots; human gesture recognition system; human social signal; human-humanoid robot; laughter detection; laughter recognition; nonverbal human social behavior; physical well-being; positive emotion; semivoluntary action; social interaction; Acceleration; Educational institutions; Electromyography; Principal component analysis; Robot sensing systems; Human-robot interaction; bioinstrumentation; gesture recognition; humanoid robot; sensing;
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/ROBIO.2013.6739661