Skip to main content

Mobile Vision as Assistive Technology for the Blind: An Experimental Study

  • Conference paper
Computers Helping People with Special Needs (ICCHP 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7383))

Included in the following conference series:

Abstract

Mobile computer vision is often advocated as a promising technology to support blind people in their daily activities. However, there is as yet very little experience with mobile vision systems operated by blind users. This contribution provides an experimental analysis of a sign-based wayfinding system that uses a camera cell phone to detect specific color markers. The results of our experiments may be used to inform the design of technology that facilitates environment exploration without sight.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bagherinia, H., Manduchi, R.: Robust real-time detection of multi-color markers on a cell phone. Journal of Real-Time Image Processing (June 2011)

    Google Scholar 

  2. Brabyn, J., Alden, A., H.-P. G., Schneck, M.: GPS performance for blind navigation in urban pedestrian settings. In: Proc. Vision 2002 (2002)

    Google Scholar 

  3. Coughlan, J., Manduchi, R.: Functional assessment of a camera phone-based wayfinding system operated by blind and visually impaired users. International Journal on Artificial Intelligence Tool 18(3), 379–397 (2009)

    Article  Google Scholar 

  4. Crandall, W., Bentzen, B.L., Meyers, L.: Talking signs®: Remote infrared auditory signage for transit, intersections and ATMs. In: Proceedings of the CSUN, Los Angeles, CA (1998)

    Google Scholar 

  5. Kulyukin, V., Gharpure, C., Nicholson, J., Pavithran, S.: RFID in robot-assisted indoor navigation for the visually impaired. In: Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2004 (2004)

    Google Scholar 

  6. Ladetto, Q., Merminod, B.: An alternative approach to vision techniques - pedestrian navigation system based on digital magnetic compass and gyroscope integration. In: Proc. WMSCI (2002)

    Google Scholar 

  7. Manduchi, R., Coughlan, J.: (Computer) vision without sight. Commun. ACM 55(1) (2012)

    Google Scholar 

  8. Manduchi, R., Kurniawan, S., Bagherinia, H.: Blind guidance using mobile computer vision: A usability study. In: ACM SIGACCESS Conference on Computers and Accessibility, ASSETS (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Manduchi, R. (2012). Mobile Vision as Assistive Technology for the Blind: An Experimental Study. In: Miesenberger, K., Karshmer, A., Penaz, P., Zagler, W. (eds) Computers Helping People with Special Needs. ICCHP 2012. Lecture Notes in Computer Science, vol 7383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31534-3_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31534-3_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31533-6

  • Online ISBN: 978-3-642-31534-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics