Facial emotion recognition and adaptative postural reaction by a humanoid based on neural evolution Articles uri icon

publication date

  • October 2013

start page

  • 481

end page

  • 493

issue

  • 3

volume

  • 10

International Standard Serial Number (ISSN)

  • 2251-6379

abstract

  • 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.

keywords

  • hri; neural evolution; aam; posture interaction