Nonverbal Communication with a Multimodal Agent via Facial Expression Recognition
Based on our previous work in the development of a multimodal animated avatar oriented to human-machine interaction and social robotics, a facial expression recognition system is presented in this paper. Both the avatar’s architecture and facial recognition system have been oriented to FACS Action Units recognition and generation, so they can be easily integrated. The resulting animated system is able to maintain nonverbal and verbal bidirectional communication, enhancing the interaction with the avatar and making it more natural for the users.
multimodal human – robot interfaces hierarchical skeletons facial animation AU recognition Active Shape Models Gabor filters
Samuel Marcos Jaime Gómez Gómez-García García-Bermejo Eduardo Zalama Joaqu(I)n López
CARTIF Centro Tecnológico,Robotics,and Computer Vision Division,Boecillo (Valladolid,Spain) University of Valladolid (Spain),Dep. Of Systems Engineering and Automatic Control,Industrial Engine
国际会议
2011 IEEE International Conference on Robotics and Automation(2011年IEEE世界机器人与自动化大会 ICRA 2011)
上海
英文
1199-1204
2011-05-09(万方平台首次上网日期,不代表论文的发表时间)