出版社：University of Malaya * Faculty of Computer Science and Information Technology
摘要：This paper presents an adaptive visual gesture recognition method for human–robot interaction using a knowledgebased software platform. The system is capable of recognizing users, static gestures comprised of the face and hand poses, and dynamic gestures of face in motion. The system learns new users, poses using multicluster approach, and combines computer vision and knowledgebased approaches in order to adapt to new users, gestures and robot behaviors. In the proposed method, a framebased knowledge model is defined for the personcentric gesture interpretation and humanrobot interaction. It is implemented using the Framebased Software Platform for Agent and Knowledge Management (SPAK). The effectiveness of this method has been demonstrated by an experimental humanrobot interaction system using a humanoid robot, namely, ‘Robovie’.
关键词：visual gesture recognition; humanrobot interaction; multicluster based learning; SPAK
