Título: Imitation system for humanoid robotics heads
Autores: Cid Burgos, Felipe
Prado, José Augusto
Manzano Gómez, Pablo
Bustos García de Castro, Pablo
Núñez Trujillo, Pedro
Fecha: 2013-01-23
2013-01-23
2013-01
Publicador: RUA Docencia
Fuente:
Tipo: info:eu-repo/semantics/article
Tema: Facial expression recognition
Imitation
Human robot interaction
Ciencia de la Computación e Inteligencia Artificial
Descripción: 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.
This work has been partially supported by the Spanish Ministerio de Ciencia e Innovación TIN2011-27512-C05-04 and AIB2010PT-00149, and by the Junta de Extremadura projects IB10062. The authors also gratefully acknowledge support from Institute of Systems and Robotics at University of Coimbra (ISR-UC), Portuguese Foundation for Science and Technology (FCT) [SFRH/BD/60954/2009].
Idioma: Inglés

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