Skip to main content

Application Research and Analysis of College Pole Dance Teaching Based on Virtual Reality Technology

  • Conference paper
  • First Online:
Application of Intelligent Systems in Multi-modal Information Analytics (MMIA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1233))

  • 1033 Accesses

Abstract

With the development of computer virtual reality technology, the application of virtual reality technology in college teaching has been widely applied to simulate various practical scenes. Computer virtual reality technology provides a new teaching method for modern college teaching. For college sports dance teaching, sports dance needs student to imitate the action of teacher in order to achieve the feeling of immersive, so the teacher has a high requirement to the fit degree of student’s dance action and music in the teaching, in order to better use the dance to express feelings in music. Thus it needs synthesis optimization for teaching dance actions and music, to facilitate the teacher’s accurate guidance to the students. However, it is difficult to describe the correspondence between music and dance action by using the current action synthesis optimization method, which leads to the poor synchronization of synthesizing dance action and music changes. To this end, the applied research and analysis of computer virtual reality technology in college sports dance teaching are put forward. The sports dance learning process of this method is completed in the virtual environment. In this paper, the synthesis process of dance action and music is as follows: firstly, combined with the theory of music beat extraction, the synchronized dance action and music data are divided into several smaller fragment combinations of actions - music. The fragments of the music are made mutation point detection, and the predicted position of each obtained beat is aligned, and the correlation coefficient between the dance action and the music segment is calculated, to obtain the objective function of the dance action synthesis optimization. Combined with the ant colony theory, the objective function is optimized and solved. All the music - dance action fragments, according to the pheromone concentration adaptive, are used to adjust the pheromone volatile factor. According to the advantages and disadvantages of the solution of dance action synthesis optimization, the pheromone is dynamically updated, and the dance action synthesis optimization based on virtual reality technology is completed. The experimental results show that the proposed method can fully reflect the synchronization of music and action changes, and the improved method has a higher matching quality of synthesizing music - dance, which effectively improves the quality of sports dance teaching.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Amado, D., Garcíacalvo, T., Marreiros, J., et al.: Analysis of students’ emotions in agreement with the dance teaching technique used. Phys. Rev. E 63(6), 138–158 (2015)

    Google Scholar 

  2. Carnduff, R., Tan, B., Mckay, C., et al.: Survey of sport participation and sport injury in elementary school children. Br. J. Sports Med. 48(7), 576–578 (2014)

    Article  Google Scholar 

  3. Li, J., Xu, J.: Choreography of Transcriptomes and Lipidomes of Nannochloropsis reveals the mechanisms of oil synthesis in Microalgae. Plant Cell 26(4), 1645–1650 (2014)

    Article  Google Scholar 

  4. Ott, M.: Cell biology: choreography of protein synthesis. Nature 533(4), 472–473 (2016)

    Article  Google Scholar 

  5. Jia, Y.: Analysis on the independent extracurricular practice of students in the specialized dance sport-shenyang sport university is taken for example. Can. J. Earth Sci. 7(1), 8–17 (2016)

    Google Scholar 

  6. Bronner, S., Shippen, J.: Biomechanical metrics of aesthetic perception in dance. Exp. Brain Res. 233(12), 3565–3569 (2015)

    Article  Google Scholar 

  7. Karahan, M., Randelli, P.: Up-to-date information is in your hands: online teaching. Knee Surg. Sports Traumatol. Arthrosc. 23(7), 1887–1888 (2015)

    Article  Google Scholar 

  8. Cahalan, R., O’Sullivan, P., Purtill, H., et al.: Inability to perform because of pain/injury in elite adult Irish dance: a prospective investigation of contributing factors. Scand. J. Med. Sci. Sports 26(6), 694–702 (2015)

    Article  Google Scholar 

  9. Sampaio, A.Z., Martins, O.P.: The application of virtual reality technology in the construction of bridge: the cantilever and incremental launching methods. Autom. Construction. 37(1), 58–67 (2014)

    Article  Google Scholar 

  10. Zhang, P.: Design of virtual reality guide training room based on the modern education technology. Lect. Notes Electr. Engineering. 269(1), 1221–1227 (2014)

    Google Scholar 

  11. Zhou, H.Y., Shi, L., Guo, S., et al.: Design of broadband omnidirectional antireflection coatings using ant colony algorithm. Opt. Express 22(4), 1130–1137 (2014)

    Google Scholar 

  12. Beltramo, T., Ranzan, C., Hinrichs, J., et al.: Artificial neural network prediction of the biogas flow rate optimised with an ant colony algorithm. Biosys. Eng. 143(1), 68–78 (2016)

    Article  Google Scholar 

  13. Sun, F., Zhang, Z., Liao, D., et al.: A lightweight and cross-platform web3D system for casting process based on virtual reality technology using webGL. Int. J. Adv. Manuf. Technology Int. J. Adv. Manuf. Technol. 80(5), 801–816 (2015)

    Article  Google Scholar 

  14. Triberti, S., Villani, D., Riva, G.: Unconscious goal pursuit primes attitudes towards technology usage: a virtual reality experiment. Comput. Hum. Behav. 64(4), 163–172 (2016)

    Article  Google Scholar 

  15. Gutiérrez-Maldonado, J., Rus-Calafell, M., González-Conde, J.: Creation of a new set of dynamic virtual reality faces for the assessment and training of facial emotion recognition ability. Virtual Reality 18(1), 61–71 (2014)

    Article  Google Scholar 

  16. Schlette, C., Buch, A.G., Aksoy, E.E., et al.: A new benchmark for pose estimation with ground truth from virtual reality. Prod. Eng. Res. Devel. 8(6), 745–754 (2014)

    Article  Google Scholar 

  17. Vaughan, N., Gabrys, B., Dubey, V.N.: An overview of self-adaptive technologies within virtual reality training. Comput. Sci. Rev. 27(8), 56–61 (2016)

    MathSciNet  Google Scholar 

  18. Chung, A., To, W.M., Schultefortkamp, B.: Next generation soundscape design using virtual reality technologies. J. Acoust. Soc. Am. 140(4), 3041–3047 (2016)

    Article  Google Scholar 

  19. Hou, J., Mi, W., Sun, J.: Optimal spatial allocation of water resources based on pareto ant colony algorithm. Int. J. Geogr. Inf. Sci. 28(2), 213–233 (2014)

    Article  Google Scholar 

  20. Wang, J., Zhang, L., Lu, F., et al.: The segmentation of wear particles in ferrograph images based on an improved ant colony algorithm. Wear 311(1), 123–129 (2014)

    Article  Google Scholar 

  21. Wang, D.H., Liu, H.Y., Wang, J.C.: Development of shearer training system based on virtual reality. Comput. Simulation. 32(6), 262–265 (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hongbo Yu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Yu, H. (2021). Application Research and Analysis of College Pole Dance Teaching Based on Virtual Reality Technology. In: Sugumaran, V., Xu, Z., Zhou, H. (eds) Application of Intelligent Systems in Multi-modal Information Analytics. MMIA 2020. Advances in Intelligent Systems and Computing, vol 1233. Springer, Cham. https://doi.org/10.1007/978-3-030-51431-0_87

Download citation

Publish with us

Policies and ethics