Research on a Visual Sensing and Tracking System for Distance Education

Authors

  • Fei Yang Department of Automation, Wuhan University
  • Rong Zhang Department of Automation, Wuhan University
  • Youpeng Zhao Department of Automation, Wuhan University

DOI:

https://doi.org/10.3991/ijet.v14i08.9827

Keywords:

Motion Sensor, RGB-D Sensor, Visual Sensing, Automatic Tracking, Kinect

Abstract


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.

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Published

2019-04-30

How to Cite

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(08), pp. 181–191. https://doi.org/10.3991/ijet.v14i08.9827

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Section

Papers