Skip to main content

Accident Prevention System During Immersion in Virtual Reality

  • Conference paper
  • First Online:
Multimedia and Network Information Systems (MISSI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 833))

Included in the following conference series:

  • 718 Accesses

Abstract

More and more development under the sign of reality modification brought glasses that do not require connection to the phone, and all calculations can be performed on a connected computer. An additional advantage is the increase in the user’s perception through the introduction of motion sensors on the market. However, it is worth noting that immersion into the virtual world requires an initial selection of the area where the user can move. In fact, various obstacles can appear. To remedy this, we suggest to improve the immersion system by using camera sensors and a classifier that can determine if anything has changed in the current area.

Our proposal has been described in detail, then created, implemented and tested on several examples. The obtained results were discussed on the wider use in the increasingly frequent use of mixed reality.

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. Akçayır, M., Akçayır, G.: Advantages and challenges associated with augmented reality for education: a systematic review of the literature. Educ. Res. Rev. 20, 1–11 (2017)

    Article  Google Scholar 

  2. Akşit, K., Lopes, W., Kim, J., Shirley, P., Luebke, D.: Near-eye varifocal augmented reality display using see-through screens. ACM Trans. Graph. (TOG) 36(6), 189 (2017)

    Article  Google Scholar 

  3. Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (surf). Comput. Vis. Image Underst. 110(3), 346–359 (2008)

    Article  Google Scholar 

  4. Choroś, K.: Automatic playing field detection and dominant color extraction in sports video shots of different view types. In: Multimedia and Network Information Systems, pp. 39–48. Springer (2017)

    Google Scholar 

  5. Cogné, M., Violleau, M.H., Klinger, E., Joseph, P.A.: Influence of non-contextual auditory stimuli on navigation in a virtual reality context involving executive functions among patients after stroke. Ann. Phys. Rehabil. Med. (2018)

    Google Scholar 

  6. Dobrowolski, G., Byrski, A., Siwik, L.: Agent-based multi-variant crisis handling strategies for SCADA systems. In: International Conference on Multimedia Communications, Services and Security, pp. 61–71. Springer (2015)

    Google Scholar 

  7. Dudani, S.A.: The distance-weighted k-nearest-neighbor rule. IEEE Trans. Syst. Man Cybern. 4, 325–327 (1976)

    Article  Google Scholar 

  8. Egodagamage, R., Tuceryan, M.: A collaborative augmented reality framework based on distributed visual slam. In: 2017 International Conference on Cyberworlds (CW), pp. 25–32. IEEE (2017)

    Google Scholar 

  9. Kacprzyk, J., Owsinski, J.W., Viattchenin, D.A.: A new heuristic possibilistic clustering algorithm for feature selection. J. Autom. Mobile Rob. Intell. Syst. 8 (2014)

    Google Scholar 

  10. Lai, Z., Hu, Y.C., Cui, Y., Sun, L., Dai, N.: Furion: engineering high-quality immersive virtual reality on today’s mobile devices. In: Proceedings of the 23rd Annual International Conference on Mobile Computing and Networking, pp. 409–421. ACM (2017)

    Google Scholar 

  11. LeBlanc, A.G., Chaput, J.P.: Pokémon go: a game changer for the physical inactivity crisis? Prev. Med. 101, 235–237 (2017)

    Article  Google Scholar 

  12. Nowicki, R.K., Starczewski, J.T.: A new method for classification of imprecise data using fuzzy rough fuzzification. Inf. Sci. 414, 33–52 (2017)

    Article  Google Scholar 

  13. Połap, D., Kęsik, K., Książek, K., Woźniak, M.: Obstacle detection as a safety alert in augmented reality models by the use of deep learning techniques. Sensors 17(12), 2803 (2017)

    Article  Google Scholar 

  14. Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q.T.: Modern approaches for intelligent information and database systems (2018)

    Google Scholar 

  15. Świechowski, M., Kacprzyk, J., Zadrozny, S.: A novel game playing based approach to the modeling and support of consensus reaching in a group of agents. In: 2016 IEEE Symposium Series on Computational Intelligence (SSCI), pp. 1–8. IEEE (2016)

    Google Scholar 

  16. Tyrrell, R., Sarig-Bahat, H., Williams, K., Williams, G., Treleaven, J.: Simulator sickness in patients with neck pain and vestibular pathology during virtual reality tasks. Virtual Reality, 1–9 (2017)

    Google Scholar 

  17. Wu, C.M., Hsu, C.W., Lee, T.K., Smith, S.: A virtual reality keyboard with realistic haptic feedback in a fully immersive virtual environment. Virtual Reality 21(1), 19–29 (2017)

    Article  Google Scholar 

Download references

Acknowledgement

Authors acknowledge contribution to this project of the “Diamond Grant 2016” No. 0080/DIA/2016/45 from the Polish Ministry of Science and Higher Education and the Rector pro-quality grant No. 09/010/RGJ18/0033 at the Silesian University of Technology, Poland.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dawid Połap .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Połap, D., Kęsik, K., Woźniak, M. (2019). Accident Prevention System During Immersion in Virtual Reality. In: Choroś, K., Kopel, M., Kukla, E., Siemiński, A. (eds) Multimedia and Network Information Systems. MISSI 2018. Advances in Intelligent Systems and Computing, vol 833. Springer, Cham. https://doi.org/10.1007/978-3-319-98678-4_56

Download citation

Publish with us

Policies and ethics