Skip to main content
SpringerLink
Log in
Book cover

Software Engineering and Knowledge Engineering: Theory and Practice pp 109–113Cite as

The Design and Implementation of a Gesture-Driven System for Intelligent Wheelchairs Based on the Orientation Histogram Method

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 115))

Abstract

An approach of hand gesture recognition, setting the orientation histogram of the picture as the characteristic vector of hand gesture, is discussed in this paper. It can decrease the influence of light changes during the process of recognition effectively. A gesture-Driven system for intelligent wheelchairs is also introduced in the paper. Experimental results show that the method is robust and accurate.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Viola, P., Jones, M.: Robust Real-Time Face Detection. International Journal of Computer Vision 57, 137–154 (2004)

    Article  Google Scholar 

  2. Moni, M.A., Ali, A.B.M.S.: HMM Based hand gesture recognition: A review on techiques and approaches. In: IEEE International Conference on Computer Science and Information Technology, Bangladesh, pp. 433–437 (2009)

    Google Scholar 

  3. Sun, L., Zhang, L.: Static Sigh Language Recognition Based on Edge Gradient Direction Histogram. Microelectroics & Computer 27, 148–153 (2010)

    Google Scholar 

  4. Dalal, N., Triggs, B.: Histograms of Oriented Gradients for Human Detection. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, France, vol. 1, pp. 886–893 (2005)

    Google Scholar 

  5. Liu, X., Jiang, C., Feng, H.: Recognition of Chinese sign Language Based on Orientation Histogram. Computer Emulation 26, 244–247 (2009)

    Google Scholar 

  6. Geng, L., Wu, X., Peng, Z.: Gesture Recognition Based on OHV and Neural Net. Signal Processing 42, 339–342 (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Optoelectronic Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

    Yuan Luo & Yu Xie

Authors
  1. Yuan Luo
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yu Xie
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yuan Luo .

Editor information

Editors and Affiliations

  1. Central China Normal University, Lvting Yajing, Hongshan Qu 10-3-102, Wuhan, 430079, China, People's Republic

    Yanwen Wu

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag GmbH Berlin Heidelberg

About this paper

Cite this paper

Luo, Y., Xie, Y. (2012). The Design and Implementation of a Gesture-Driven System for Intelligent Wheelchairs Based on the Orientation Histogram Method. In: Wu, Y. (eds) Software Engineering and Knowledge Engineering: Theory and Practice. Advances in Intelligent and Soft Computing, vol 115. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25349-2_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25349-2_15

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25348-5

  • Online ISBN: 978-3-642-25349-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation