Skip to main content

Research on Projection Interaction Based on Gesture Recognition

  • Conference paper
  • First Online:
  • 2157 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1498))

Abstract

With the continuous emergence and vigorous development of various new technologies in the information age, human-computer interaction is also changing constantly. People are increasingly connected with the virtual world, so it is necessary to study more natural ways of human-computer interaction. Projection interaction is one of the most important interaction methods. The purpose of this paper is to study how to overcome the misoperation problem caused by foreign objects (interferers) in the environment of projection interaction (Fig. 1c). The method (named after FDGR) adopted is to use the fingertip detection algorithm based on user habits in image processing and the gesture recognition algorithm based on Leap Motion to complete the accurate and convenient natural human-computer interaction. Through user experiments, the experiences of completing the fixed assembly task in the mode of projection (P), gesture (G) and FDGR (PG) were compared, and the data was processed and analyzed. The experimental results showed that FDGR could effectively overcome the misoperation caused by foreign objects (interferers) and the non-intuitiveness of simple gestures, and effectively improved the user's operating experience.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

References

  1. Hongjian, C.: Research on gesture recognition method based on computer vision technology. In: 2020 International Conference on Computer Information and Big Data Applications (CIBDA), pp. 358–362. IEEE, Guiyang (2020)

    Google Scholar 

  2. Fengjun, Z.: A survey on human-computer interaction in virtual reality. Sci. Sinica Inf. 46(12), 1711–1736 (2016)

    Google Scholar 

  3. Jin, H.: An overview of human-computer interaction in mixed reality. J. Comput. Aided Des. Graph. 28(06), 869–880 (2016)

    Google Scholar 

  4. Granit, L.: A sliding window approach to natural hand gesture recognition using a custom data glove. In: 2016 IEEE Symposium on 3D User Interfaces (3DUI), pp. 81–90 (2016)

    Google Scholar 

  5. Munir, O.: Hand gesture recognition based on computer vision: a review of techniques. J. Imaging 6(8), 73–102 (2020)

    Google Scholar 

  6. Ivan, P.: The go-go interaction technique: non-linear mapping for direct manipulation in VR. In: Proceedings of the 9th Annual ACM Symposium on User Interface Software and Technology, pp. 79–80. Association for Computing Machinery, Seattle, Washington (1996)

    Google Scholar 

  7. Doshi, A., Smith, R.T., Thomas, B.H., Bouras, C.: Use of projector based augmented reality to improve manual spot-welding precision and accuracy for automotive manufacturing. Int. J. Adv. Manuf. Technol. 89(5–8), 1279–1293 (2016). https://doi.org/10.1007/s00170-016-9164-5

    Article  Google Scholar 

  8. Jianlong, Z.: Applying spatial augmented reality to facilitate in-situ support for automotive spot welding inspection. In: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in Industry, pp. 195–200 (2011)

    Google Scholar 

  9. Priyanka, P.: Development of hand gesture recognition system using machine learning. J. Amb. Intell. Hum. Comput. 12, 6793–6800 (2020)

    Google Scholar 

  10. Kuen-Meau, C., Ming-Jen, W.: Using the Interactive Design of Gesture Recognition in Augmented Reality. Trans Tech Publications Ltd., Durnten-Zurich (2013)

    Google Scholar 

  11. Huidong, B.: Using 3D hand gestures and touch input for wearable AR interaction. In: CHI, pp. 1321–1326. ACM, Toronto (2014)

    Google Scholar 

  12. Mark, B.: Hands in space gesture interaction with augmented-reality interfaces. IEEE Comput. Graph. Appl. 34(1), 77–81 (2014)

    Google Scholar 

  13. Kim, M., Lee, J.Y.: Touch and hand gesture-based interactions for directly manipulating 3D virtual objects in mobile augmented reality. Multimedia Tools Appl. 75(23), 16529–16550 (2016). https://doi.org/10.1007/s11042-016-3355-9

    Article  Google Scholar 

Download references

Acknowledgement

This work is partly support by National Key R&D Program of China (Grant No. 2019YFB1703800), Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2016JM6054), the Programme of Introducing Talents of Discipline to Universities (111 Project), China (Grant No. B13044).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Weiping He .

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

Cao, Z., He, W., Wang, S., Zhang, J., Wei, B., Li, J. (2021). Research on Projection Interaction Based on Gesture Recognition. In: Stephanidis, C., Antona, M., Ntoa, S. (eds) HCI International 2021 - Late Breaking Posters. HCII 2021. Communications in Computer and Information Science, vol 1498. Springer, Cham. https://doi.org/10.1007/978-3-030-90176-9_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-90176-9_40

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90175-2

  • Online ISBN: 978-3-030-90176-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics