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Structural Self-Similarity Framework for Virtual Human’s Whole Posture Generation

  • Research Article-Computer Engineering and Computer Science
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Abstract

There are many virtual human joints and degrees of freedom involved in man–machine simulation; however, the commonly used man–machine simulation software cannot provide enough constraints for the whole posture solution of virtual human. This study proposes a novel framework for whole posture calculation and generation. First, a new typical posture database is created. Based on these typical postures, virtual human approximates whole posture that is generated according to the new posture generation conditions and selection rules. Second, a novel method for accurate calculation of partial postures is presented. This method can calculate and adjust the partial posture of the virtual human. It can also achieve the whole posture generation to design the calculation and generation process. Then, this study proposes a meaningful calculation method of anthropomorphism which can evaluate the generated posture accurately. The experimental process is verified by abundant simulation examples compared with three state-of-the-art methods. It turns out that the novel framework proposed can reduce interaction effort and improve the effectiveness of posture generation. Meanwhile, the evaluation of anthropomorphism can achieve 0.91 to get Level 1 which indicates that the generated posture is beneficial to simulation requirements.

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Data Availability

We declared that materials described in the manuscript, including all relevant raw data, will be freely available to any scientist wishing to use them for non-commercial purposes, without breaching participant confidentiality.

Code Availability

We declared that materials described in the manuscript, including all relevant codes, will be freely available to any scientist wishing to use them for non-commercial purposes, without breaching participant confidentiality.

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Funding

The research is partly supported by the MOE Youth Project of Humanities and Social Sciences of China (20YJCZH197), Natural Science Foundation of Anhui and Fujian Province, China(1808085MF199, 2020J01923), Putian Technology Planning Project, China (2019GP0011, 2020GP003) and Starting funding of Putian University, China (2019020-2019021).

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Authors and Affiliations

  1. School of Information Engineering, Putian University, Putian, China

    Zhenfa Wu, Rongbin Xu & Ying Xie

  2. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing, China

    Huangjin Zhao & Guolei Zheng

  3. New Engineering Industry College, Putian University, Putian, China

    Shiying Wu

Authors
  1. Zhenfa Wu
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  2. Huangjin Zhao
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  3. Guolei Zheng
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  4. Shiying Wu
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  5. Rongbin Xu
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  6. Ying Xie
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Contributions

Z.W. conceived and designed the study. Z., Z. and S.W. performed the simulations. Z. W., X. and X. drafted the manuscript. X. revised the manuscript. All authors reviewed and edited the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Ying Xie.

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Wu, Z., Zhao, H., Zheng, G. et al. Structural Self-Similarity Framework for Virtual Human’s Whole Posture Generation. Arab J Sci Eng 46, 8617–8628 (2021). https://doi.org/10.1007/s13369-021-05623-6

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  • DOI: https://doi.org/10.1007/s13369-021-05623-6

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