Skip to main content
SpringerLink
Log in

Do-It-Yourself Object Identification Using Augmented Reality for Visually Impaired People

  • Conference paper
Book cover 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

In this paper, we present a Do-It-Yourself (DIY) application for helping Visually Impaired People (VIP) identify objects in their day-to-day interaction with the environment. The application uses the LayarTM Augmented Reality (AR) API to build a working prototype for identifying grocery items. The initial results of using the application show positive acceptance from the VIP community.

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

Access this chapter

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 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. Haller, M., Billinghurst, M., Thomas, B.H.: Emerging technologies of augmented reality: interfaces and design. Idea Group Inc, (IGI) (2007)

    Google Scholar 

  2. Sudol, J., Dialameh, O., Blanchard, C., Dorcey, T.: Looktel—A comprehensive platform for computer-aided visual assistance. In: 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 73–80 (2010)

    Google Scholar 

  3. Bigham, J.P., et al.: VizWiz: nearly real-time answers to visual questions. In: Proceedings of the 23nd Annual ACM Symposium on User Interface Software and Technology, New York, NY, USA, pp. 333–342 (2010)

    Google Scholar 

  4. Layar Reality Browser / Layar Vision Overview, http://layar.pbworks.com/w/page/43908786/Layar%20Vision%20Overview (accessed: January 17, 2012)

  5. Layar Reality Browser / Reference Image Best Practices, http://layar.pbworks.com/w/page/43909057/Reference%20Image%20Best%20Practices (accessed: January 20, 2012)

  6. Layar Augmented Reality for MAKE. vol 28. (and How to Make Your Own), http://boingboing.net/2011/11/21/layar-augmented-reality-for-ma.html

  7. The example’s source code explained, can be found on the following link, http://faculty.ksu.edu.sa/hend.alkhalifa/documents/resources/AR-example.rar

Download references

Author information

Authors and Affiliations

  1. Electronic and Computer Research Institute, King Abdulaziz City for Science and Technology, King Abdulaziz, Saudi Arabia

    Atheer S. Al-Khalifa

  2. Information Technology Department, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

    Hend S. Al-Khalifa

Authors
  1. Atheer S. Al-Khalifa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Hend S. Al-Khalifa
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. University of Linz, Institut Integriert Studieren, Altenbergerstraße 69, 4040, Linz, Austria

    Klaus Miesenberger

  2. University of San Francisco, 2130 Fulton St, 94117, San Francisco, CA, USA

    Arthur Karshmer

  3. Support Centre for Students with Special Needs, Masaryk University, Botanická 68A, 602 00, Brno, Czech Republic

    Petr Penaz

  4. Institute “integriert studieren”, Vienna University of Technology, Favoritenstr. 11/029, 1040, Vienna, Austria

    Wolfgang Zagler

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Al-Khalifa, A.S., Al-Khalifa, H.S. (2012). Do-It-Yourself Object Identification Using Augmented Reality for Visually Impaired People. 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_82

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31534-3_82

  • 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

Search

Navigation