By Topic

Facial expression recognition over FFT-OFDM

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Lajevardi, S.M. ; Sch. of Electr. & Comput. Eng., RMIT Univ., Melbourne, VIC, Australia ; Neville, K.L. ; Hussain, Z.M.

Facial expression recognition (FER) is an important task in human-computer interaction systems to include emotion processing. In this work we present the recognition of facial expressions in OFDM systems. The original image is converted to binary code then it is transmitted via OFDM over a multi-path fading channel. The features are then extracted from the reconstructed image at the receiver based on the log Gabor filter. Finally, the features are classified using the naive Bayesian classifier. Simulation results on the Cohn-Kanade database show that the system obtains good results in the presence of noise in the received images.

Published in:

Advanced Technologies for Communications, 2009. ATC '09. International Conference on

Date of Conference:

12-14 Oct. 2009