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has been cited by the following article:

• TITLE: Application of Optical Motion Capture Technology in Power Safety Entitative Simulation Training System

  AUTHORS: Huimeng Zhang, Lanxiang Wang, Shenghui Chu, Shuo Chen, Hao Meng, Guozhong Liu

  KEYWORDS: Motion Capture, Kalman Filtering, Power Safety Training System, 3D Human Body Mode, VR

  JOURNAL NAME: Optics and Photonics Journal, Vol.6 No.8B, August 25, 2016

  ABSTRACT: The safety production is critical to stable development of Chinese electric power industry. With the development of electric power enterprises, the requirements of its employees are also becoming higher and higher. In this paper, an optical motion capture system based on the virtual reality technology is proposed to meet the requirements of the power enterprise for the qualified business ability. Electric power equipment, power equipment model entitative operating environment and the human model are established by electric power simulation unit, ZigBee technology and OpenGL graphics library. The problem of missing feature points is solved by applying the human model driven algorithm and the Kalman filtering algorithm. The experimental results show that it is more accurate to use Kalman filtering algorithm to extract the feature point in tracking process of actual motion capture and real-time animation display. The average absolute error of 3D coordinates is 1.61 mm and the average relative error is 2.23%. The system can improve trainees’ sense of experience and immersion.