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Research on Arm Motion Capture of Virtual Reality Based on Kinematics

  • Shubin Cai
  • Dihui Deng
  • Jinchun Wen
  • Chaoqin Chen
  • Zhong Ming
  • Zhiguang Shan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11344)

Abstract

Virtual reality needs to simulate interaction scenes that are as consistent as possible with reality. Motion capture is the key to address this need. In this paper, a kinematic-based virtual reality arm motion capture scheme is designed on the HTC VIVE platform to achieve low-cost and high-precision motion capture. Based on the human skeleton model, an arm kinematic chain model suitable for VR environment is designed. The above human structure data is redirected to the VR arm to drive the VR arm movement in the virtual environment. Compared with existing motion capture solutions, the experimental results and user survey results show that the method proposed in this paper is able to restore the actual arm movements in virtual reality, showing higher accuracy, and the average satisfaction of the survey object reaches 85%.

Keywords

Virtual reality Motion capture Kinematics Action recognition 

Notes

Acknowledgements

This work in this paper is supported by the National Natural Science Foundation of China (Nos. 61672358 and Nos. 61836005).

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Shubin Cai
    • 1
  • Dihui Deng
    • 1
  • Jinchun Wen
    • 1
  • Chaoqin Chen
    • 1
  • Zhong Ming
    • 1
  • Zhiguang Shan
    • 2
  1. 1.College of Computer Science and Software EngineeringShenzhen UniversityShenzhenChina
  2. 2.State Information Center of ChinaBeijingChina

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