Yasunari Yoshitomi, Taro Asada, Ryota Kato, Masayoshi Tabuse
Available Online 1 June 2015.
Facial expression recognition, Area of mouth and jaw, Thermal image, and Utterance judgment
To develop a robot that understands human feeling, we propose a method for recognizing facial expressions. A video was analyzed by thermal image processing and the feature parameter of facial expression, which was extracted in the area of the mouth and jaw by a two-dimensional discrete cosine transform. The facial expression intensity, defined as the norm of the difference vector between the feature vector of the neutral facial expression and that of the observed one, was measured. The feature vector made by facial expression intensity and time at utterance was used for recognizing facial expression.
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).