Advertisement

The Application of Motion Capture and 3D Skeleton Modeling in Virtual Fighting

  • Xinliang WeiEmail author
  • Xiaolong Wan
  • Sihui Huang
  • Wei Sun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10582)

Abstract

With the rapid development of new technology, motion capture technology has been widely used in film and television animation, motion analysis, medical research and game design. Especially in the game design, we not only gain the real-time motion data, but also consider the motion data and three-dimensional model matching. In this paper, we propose a unified method for 3D skeleton modeling, so that the motion data and 3D model can be matched perfectly. We apply the method to the virtual fighting game to verify the effectiveness of the method. In this process, this paper also analyzes the influence of other factors and realistic motion data model, and puts forward the corresponding solutions, providing strong support for the development of virtual games.

Keywords

Motion capture Virtual fighting 3D skeleton modeling 

References

  1. 1.
    Wang, X., Zhu, X., Zhao, J., Xu, H.: The research of real time motion capture technology in film and television animation. Microcomput. Appl. 3, 16–17 (2014)Google Scholar
  2. 2.
    Cai, Z.: Research on human computer interaction design based on motion capture. Digital Technol. Appl. 3, 80 (2014)Google Scholar
  3. 3.
    Ji, Q., Pan, Z., Li, X.: Application of virtual reality in sports simulation. J. Comput. Aided Design Comput. Graph. 11, 1333–1338 (2003)Google Scholar
  4. 4.
    Zhang, T., Wang, X.: Application of motion capture technology in sports. Electron. Test 24, 103–104 (2015)Google Scholar
  5. 5.
    Yao, X.: Modeling and motion simulation of virtual human based on motion capture data Computer. Simulation 06, 225–229 (2010)Google Scholar
  6. 6.
    Chan, J.C.P., Leung, H., Tang, J.K.T., Taku, K.: A virtual reality dance training system using motion capture technology. IEEE Trans. Learn. Technol. 4(2), 187–195 (2011)CrossRefGoogle Scholar
  7. 7.
    Liu, B., Li, Y., Zhou, D.: The application of motion capture system and virtual simulation software in virtual maintenance. In: International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, pp. 1986–1988 (2013)Google Scholar
  8. 8.
    Chen, S., Ning, T.,Wang, K.: Motion control of virtual human based on optical motion capture in immersive virtual maintenance system. In: International Conference on Virtual Reality and Visualization, pp. 52–56. IEEE (2011)Google Scholar
  9. 9.
    Tao, G., Sun, S., Huang, S., Huang, Z., Wu, J.: Human modeling and real-time motion reconstruction for micro-sensor motion capture. In: IEEE International Conference on Virtual Environments Human-Computer Interfaces and Measurement Systems, pp. 1–5. IEEE (2011)Google Scholar
  10. 10.
    Li, G., Wu, Z., Meng, X.: Modeling of human body for animation by micro-sensor motion capture. In: International Symposium on Knowledge Acquisition and Modeling, pp. 98–101. IEEE (2009)Google Scholar
  11. 11.
    Haratian, R., Twycross-Lewis, R., Timotijevic, T., Phillips, C.: Toward flexibility in sensor placement for motion capture systems: a signal processing approach. IEEE Sens. J. 14(3), 701–709 (2014)CrossRefGoogle Scholar
  12. 12.
    Young, A.D.: Use of body model constraints to improve accuracy of inertial motion capture. In: International Conference on Body Sensor Networks, pp. 180–186. IEEE (2010)Google Scholar
  13. 13.
    Wang, H., Tu, C.: Encoding and retrieval of motion capture data based on Hash learning. J. Comput. Aided Design Comput. Graph. 12, 2151–2158 (2016)Google Scholar
  14. 14.
    Liang, F., Zhang, Z., Li, X., Tong, Z.: Recognition of human lower limb movements during human motion capture. J. Comput. Aided Design Comput. Graph. 12, 2419–2427 (2015)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Xinliang Wei
    • 1
    Email author
  • Xiaolong Wan
    • 1
  • Sihui Huang
    • 1
  • Wei Sun
    • 1
  1. 1.Sun Yat-sen UniversityGuangzhouChina

Personalised recommendations