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Research on Arm Motion Capture of Virtual Reality Based on Kinematics

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Smart Computing and Communication (SmartCom 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11344))

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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%.

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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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Correspondence to Zhong Ming .

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Cai, S., Deng, D., Wen, J., Chen, C., Ming, Z., Shan, Z. (2018). Research on Arm Motion Capture of Virtual Reality Based on Kinematics. In: Qiu, M. (eds) Smart Computing and Communication. SmartCom 2018. Lecture Notes in Computer Science(), vol 11344. Springer, Cham. https://doi.org/10.1007/978-3-030-05755-8_35

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  • DOI: https://doi.org/10.1007/978-3-030-05755-8_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-05754-1

  • Online ISBN: 978-3-030-05755-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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