Search BYU 
Feedback   |   Help

     One of the common ways of human showing emotion is through the change in facial expression. In this paper, we propose a new method for emotion detection by analyzing facial expression images. Facial expression information is analyzed by using a new feature construction method called Evolution-COnstructed(ECO) Features. The proposed algorithm is able to automatically recognize seven basic emotions that include Anger, Contempt, Disgust, Fear, Happiness, Sadness and Surprise. The test results on the Cohn-Kanade dataset show the proposed algorithm has very high classification accuracy.

Collaborators: Drs. Kirt Lillywhite and Beau Tippetts, Smart Vision Works International, LLC

Graduate Students:

Meng Zhang and Alok Desai

  1. M. Zhang, D.J. Lee, A. Desai, K.D. Lillywhite, and B.J. Tippetts, “Automatic Facial Expression Recognition Using Evolution Constructed Features,” Lecture Notes in Computer Science, International Symposium on Visual Computing, p. 282-291, Las Vegas, NV, USA, December 8-10 2014.
(Click image to view.)


Maintained by the ECEn Web Team
Copyright © 1994-2013. Brigham Young University. All Rights Reserved.