Pattern Recognition System to Classify Student’s Emotion using Forehead Wrinkles
Giulia Sofia, M. Mohamed Sathik · International Journal of Computer Applications · 2011
Facial expressions play an essential role in communications in social interactions with other human beings which deliver rich information about their emotions. Here, we propose an efficient method for identifying the expressions of the students to recognize their comprehension from the facial expressions in static images containing the frontal view of the human face. Our goal is to categorize the facial expressions of the students in the given image into two basic emotional expression states – comprehensible, incomprehensible. In this paper, Facial expressions are identified from the wrinkles of the forehead. Our method consists of three steps, Forehead detection using Knowledge based system, Wrinkle extraction using Edge detection method and Emotion recognition using Pattern Recognition system. The proposed method is tested on the images from YALE and JAFFE Face databases.