Skip to main content

Conclusions and Future Directions

  • Chapter
  • First Online:
Gesture Recognition

Part of the book series: Studies in Computational Intelligence ((SCI,volume 724))

  • 1001 Accesses

Abstract

This chapter provides a thorough review of the principles and concepts narrated in the book, highlighting significant results and conclusions arrived at earlier. In other words, the chapter combines important results to offer more generic conclusions for future researchers in gesture recognition. Possible direction of future research is also indicated in this chapter.

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 89.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. C.J. Cohen, K.A. Scott, M.J. Huber, S.C. Rowe, F. Morelli, Behavior Recognition Architecture for Surveillance Applications, in Applied Imagery Pattern Recognition Workshop, 2008. AIPR’08. 37th IEEE (2008), pp. 1–8

    Google Scholar 

  2. C.J. Cohen, F. Morelli, K.A. Scott, A, Surveillance System for the Recognition of Intent within Individuals and Crowds, in 2008 IEEE Conference on Technologies for Homeland Security, (2008), pp. 559–565

    Google Scholar 

  3. K. Chakravarty, A. Sinha, D. Das, R. Banerjee, A. Konar, S. Dutta, Identification of People Using Multiple Skeleton Recording Devices. Google Patents, 08 Dec 2015

    Google Scholar 

  4. M.-H. Yang, N. Ahuja, M. Tabb, Extraction of 2d motion trajectories and its application to hand gesture recognition. Pattern Anal. Mach. Intell. IEEE Trans. 24(8), 1061–1074 (2002)

    Article  Google Scholar 

  5. V. Bloom, D. Makris, V. Argyriou, G3d: A Gaming Action Dataset And Real Time Action Recognition Evaluation Framework, in 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), (2012), pp. 7–12

    Google Scholar 

  6. Y. Wu, T.S. Huang, Vision-based Gesture Recognition: A review, in Urbana, vol 51 (1999), p. 61,801

    Google Scholar 

  7. S.J. McKenna, S. Jabri, Z. Duric, A. Rosenfeld, H. Wechsler, Tracking groups of people. Comput. Vis. Image Underst. 80(1), 42–56 (2000)

    Article  MATH  Google Scholar 

  8. R.M. Barnes, R.M. Barnes, in Motion and time study, vol. 84, (Wiley New York, New York, 1958)

    Google Scholar 

  9. G.H. Ballantyne, Robotic surgery, telerobotic surgery, telepresence, and telementoring. Surg. Endosc. 16(10), 1389–1402 (2002)

    Article  Google Scholar 

  10. A.R. Lanfranco, A.E. Castellanos, J.P. Desai, W.C. Meyers, Robotic surgery: a current perspective. Ann. Surg. 239(1), 14–21 (2004)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Amit Konar .

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Cite this chapter

Konar, A., Saha, S. (2018). Conclusions and Future Directions. In: Gesture Recognition. Studies in Computational Intelligence, vol 724. Springer, Cham. https://doi.org/10.1007/978-3-319-62212-5_9

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-62212-5_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62210-1

  • Online ISBN: 978-3-319-62212-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics