Facial expression recognition is a key element in human communication. In order to promote man and machine interaction a framework is proposed for facial expression recognition from images and videos. The database used is gathered by capturing images and videos of around 50 people bearing different emotion. An intelligent system is deployed using artificial neural network and image processing for facial expression recognition. Images bearing different emotions are trained using radial basis neural network. Simulation is done for the trained network to test the new data for the classification in different facial expressions.
Emotion recognition, Facial expression recognition, Face detection, Artificial Neural Network, Emotion classification
Rashi Goyal, Tanushri Mittal, Facial Expression Recognition using Artificial Neural Network, HCTL Open International Journal of Technology Innovations and Research, Volume 10, July 2014, ISSN: 2321-1814, ISBN: 978-1-62951-619-6.