Human Upper Body Pose Recognition Using Adaboost Template for Natural Human Robot Interaction
CRV '10 Proceedings of the 2010 Canadian Conference on Computer and Robot Vision
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Attention-based addressee selection for service and social robots to interact with multiple persons
Proceedings of the Workshop at SIGGRAPH Asia
Towards more engaging telepresence by face tracking
Proceedings of the Workshop at SIGGRAPH Asia
Designing engagement-aware agents for multiparty conversations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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In this paper, a novel vision system is proposed to estimate attention of people from rich visual clues for social robot to perform natural interactions with multiple participants in public environments. The vision detection and recognition modules include multi-person detection and tracking, upper-body pose recognition, face and gaze detection, lip motion analysis for speaking recognition, and facial expression recognition. A computational approach is proposed to generate a quantitative estimation of human attention. The vision system is implemented on a robotic receptionist "EVE" and encouraging results have been obtained.