Research on a Visual Sensing and Tracking System for Distance Education
Fei Yang, Rong Zhang, Youpeng Zhao, Department of Automation, Wuhan University
iJET Volume 14, Number 8, ISSN 1863-0383 Publisher: International Association of Online Engineering, Kassel, Germany
With Microsoft’s motion sensor Kinect and a customized 3-axis pan-tilt-roll machinery connected together, a new intelligent sensing and tracking system comes into being. In order to simulate human natural visual sensing behavior, this system adopts the sensing function from Kinect placed upon the 3-axis motion machinery, controlled by a proposed expert PID control algorithm based on the adaptive Kalman filter, so as to guarantee automatic real-time visual tracking and to observe human movements and receive his/her position information. Experimental results indicate that this new system is capable of tracking one individual’s real-time movements with relatively high accuracy. Though this system is designed to be applied directly to distance education, it has great potential of functioning as a basic platform where many other human-computer natural interactions can be extended.
Yang, F., Zhang, R. & Zhao, Y. (2019). Research on a Visual Sensing and Tracking System for Distance Education. International Journal of Emerging Technologies in Learning (iJET), 14(8), 181-191. Kassel, Germany: International Association of Online Engineering.