Identification of student comprehension using forehead wrinkles

Facial Expression plays a vital role in the identification of Emotions and comprehension level of the students in the virtual classrooms. Expressions that signal emotions include muscle movements such as raising the eyebrows, wrinkling the brow (the forehead or eyebrow), rolling the eyes or curling the lip. 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. One of the key action units in the face to expose expression is forehead. In this paper, Facial expressions are identified from the wrinkles of the forehead. Our method consists of three steps, Forehead detection, Wrinkle extraction and Emotion recognition. The proposed method is tested on the images from YALE and JAFFE Face databases.