Primitive communication based on motion recognition and generation with hierarchical mimesis model

Primitive communication based on motion recognition and generation with hierarchical mimesis model
复制标题

DOI：
10.1109/robot.2006.1642252
复制
发表时间：
2006-05
期刊：
Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006.
影响因子：
--
通讯作者：
W. Takano;K. Yamane;T. Sugihara;Ko Yamamoto;Yoshihiko Nakamura
W. Takano;K. Yamane;T. Sugihara;Ko Yamamoto;Yoshihiko Nakamura
中科院分区：
其他
文献类型：
--
作者：
W. Takano;K. Yamane;T. Sugihara;Ko Yamamoto;Yoshihiko Nakamura

文献摘要

被引文献

相似文献

Communication skill is essential for social robots in various environments such as homes, offices, and hospitals, where the robots are expected to interact with humans. In this paper, we model the primitive nonverbal communication between two persons by mimetic communication model. The model consists of three groups of hidden Markov models (HMMs) hierarchically combined to recognize motions of the human and to generate the interactive motions of the robot. HMMs in the lower layer abstract the motion patterns and HMMs in the upper layer represent the interaction patterns. We demonstrate the validity of this model through kick boxing match between a motion-captured human and humanoid robot, where the robot can autonomously generate its motion in response to attacks by the human