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  • 标题:Imitation system for humanoid robotics heads
  • 其他标题:Imitation system for humanoid robotics heads
  • 本地全文:下载
  • 作者:Felipe Andrés Cid Burgos ; José Augusto Prado ; Pablo Manzano Gómez
  • 期刊名称:Journal of Physical Agents
  • 印刷版ISSN:1888-0258
  • 出版年度:2013
  • 卷号:7
  • 期号:1
  • 页码:23-30
  • DOI:10.14198/JoPha.2013.7.1.04
  • 语种:English
  • 出版社:Red de Agentes Fisicos
  • 摘要:This paper presents a new system for recognition and imitation of a set of facial expressions using the visual information acquired by the robot. Besides, the proposed system detects and imitates the interlocutor’s head pose and motion. The approach described in this paper is used for human-robot interaction (HRI), and it consists of two consecutive stages: i) a visual analysis of the human facial expression in order to estimate interlocutor’s emotional state (i.e., happiness, sadness, anger, fear, neutral) using a Bayesian approach, which is achieved in real time; and ii) an estimate of the user’s head pose and motion. This information updates the knowledge of the robot about the people in its field of view, and thus, allows the robot to use it for future actions and interactions. In this paper, both human facial expression and head motion are imitated by Muecas, a 12 degree of freedom (DOF) robotic head. This paper also introduces the concept of human and robot facial expression models, which are included inside of a new cognitive module that builds and updates selective representations of the robot and the agents in its environment for enhancing future HRI. Experimental results show the quality of the detection and imitation using different scenarios with Muecas.
  • 关键词:Facial expression recognition; Imitation; Human robot interaction
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