Facial expression recognition to improve learning, gaming
A computer algorithm that can tell whether you are happy or sad, angry or expressing almost any other emotion would be a boon to the games industry. New research published in the International Journal of Computational Vision and Robotics describes such a system that is almost 99 percent accurate.
Hyung-Il Choi of the School of Media, at Soongsil University, in Seoul, Korea, working with Nhan Thi Cao and An Hoa Ton-That of Vietnam National University, in Ho Chi Minh City, explain that capturing the emotions of players could be used in interactive games for various purposes, such as transferring the player’s emotions to his or her avatar, or activating suitable actions to communicate with other players in various scenarios including educational applications.
The team has developed a simple, fast system that they have shown to be almost 99% accurate on thousands of test facial images. Fundamentally, the system uses mathematical processing to measure eyebrow position, the openness of the eyes, mouth shape and other factors in order to correlate those with basic human emotions: anger, disgust, fear, joy, sadness, surprise and a neutral expression. The system can work even on images of faces just 48 pixels square.
The university now provides graduate and postgraduate (master, doctor education) education to 35,391 students, including:
- 120 undergraduate programs
- 83 M.Sc and M.Eng programs
- 82 doctoral programs
The education professionals cover technology, natural sciences, basic sciences, social and humanity sciences, literature, foreign languages, and business. The headquarters of the university is in Linh Trung ward, Thủ Đức District, Thu Duc University Village, Ho Chi Minh City. The university is planning a new campus project with the area of 643.7 ha.