RT Journal Article
T1 Facial emotion recognition and adaptative postural reaction by a humanoid based on neural evolution
A1 García Bueno, Jorge
A1 González-Fierro, Miguel
A1 Moreno, Luis
A1 Balaguer Bernaldo de Quirós, Carlos
AB We present a method of bidirectional interaction between a human and a humanoid robot in terms of emotional expressions. The robot is able to detect continuous transitions of human emotions that ranges from very sad to very happy using Active Appearance Models (AAMs) and Neural Evolution Algorithm to determinate the face shape and gestures. As a response of the human emotions, the robot performs postural reactions that dynamically adapt to the human expressions, performing a body language which changes in terms of intensity as the human emotions vary. Our method is implemented in the HOAP-3 humanoid robot.
PB International Journal Publishers Group
SN 2251-6379
YR 2013
FD 2013-10
LK https://hdl.handle.net/10016/20072
UL https://hdl.handle.net/10016/20072
LA eng
NO The research leading to these results has received funding from the COMANDER project CCG10-UC3M/DPI-5350 funded by Comunidad de Madrid and UC3M (University Carlos III of Madrid), and ARCADIA project DPI2010-21047-C02-01 funded by CICYT project grant on behalf of Spanish Ministry of Economy and Competitiveness.
DS e-Archivo
RD 1 sept. 2024