Doctoral Student Creates Software That Can Detect Emotions

A University of Arkansas at Little Rock graduate has created a computer program that can identify emotions on a person's face in real time.

Suzan Anwar, of Little Rock, graduated May 11 from UA Little Rock with a Ph.D. in computer and information science. In August, she will begin a new position as an assistant professor of computer science at Philander Smith College, where she has taught robotics courses for the past year.

Anwar and her dissertation advisor, Dr. Mariofanna Milanova, professor of computer science, created a face analysis package that uses face and eye detection and eye tracking software to recognize emotions like happiness, sadness, anger, disgust, fear, and surprise. The second part of the system can track the position of a person's head and what their eyes are looking at when they feel a specific emotion. The software has the potential for a variety of real-world applications.