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Application of 3D Human Motion Recognition in Dance System

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Cyber Security Intelligence and Analytics (CSIA 2021)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1342))

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Abstract

Dance art is the most important, the most active and the most direct emotional expression form in human life and it is also an ancient art in human history. In the long course of social development, dance, like other arts, carries human civilization. In recent years, with the development of multi-cultural integration, new dance art forms emerge in endlessly. In the face of various forms and rich content of dance art, people urgently need to record and save these dance systems in a more convenient and concise way, so as to provide theoretical and data support for the inheritance and innovation of dance art. The 3D human motion recognition system, as an accurate, intuitive, motion recognition and recording system created for Laban music, is feasible and inevitable in the whole dance system. The following is an overview of 3D human motion recognition system, and analyzes its specific application in dance system, in order to provide certain reference and reference for the innovation and development of human motion recognition technology in dance system.

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References

  1. Lu, Y.: Research on motion recognition based on 3D human motion capture data. Electron. Product. Z1: 69–71 + 75 (2019)

    Google Scholar 

  2. Luo, H., Tong, K., Kong, F.: Review of human motion recognition in video based on deep learning. Acta Electron. Sin. 4705, 1162–1173 (2019)

    Google Scholar 

  3. Liu, F., Wu, Z.: Human motion recognition algorithm based on Kinect and SVM. Mod. Comput. 18, 55–58 (2019)

    Google Scholar 

  4. Li, S., Guo, X., Wu, J.: Human motion recognition method based on key frame and skeleton information. Sens. Microsyst. 3811, 26–30 (2019)

    Google Scholar 

  5. Huang, Q., Zhou, F., Liu, M.: Overview of video based human motion recognition algorithms. Res. Comput. Appl. 3711, 3213–3219 (2020)

    Google Scholar 

  6. Yang, J.: Robot dance system based on image simulation. Xiamen University (2019)

    Google Scholar 

  7. Zhu, Y., Hang, X., Huang, J.: Research on human motion recognition based on 3D CNN. Mod. Electron. Technol. 43(18), 150–152 + 156 (2020)

    Google Scholar 

  8. Wu, W.: Object attribute inference method based on human object interaction. Shenzhen University (2020)

    Google Scholar 

  9. Song, Z.: Research and application of 3D human skeleton extraction and motion recognition for multi Kinect. Shandong University 2020

    Google Scholar 

  10. Sun.: Research on recognition method of human motion depth information based on machine learning. J. Changchun Univ. 30(04), 16–20 (2020)

    Google Scholar 

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Correspondence to Di Fan .

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© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Fan, D. (2021). Application of 3D Human Motion Recognition in Dance System. In: Xu, Z., Parizi, R.M., Loyola-González, O., Zhang, X. (eds) Cyber Security Intelligence and Analytics. CSIA 2021. Advances in Intelligent Systems and Computing, vol 1342. Springer, Cham. https://doi.org/10.1007/978-3-030-70042-3_9

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