5th International Virtual Conference (IVC-2018).  International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

An Assistive Model for ICT Applications for Color Blindness

Author Affiliations

  • 1 Computer and Software Engineering Department, Bahria University, Karachi Campus, PAKISTAN
  • 2 Department of Computer Science, Federal Urdu University of Arts, Sciences and Technology, Karachi, PAKISTAN

Res. J. Recent Sci., Volume 3, Issue (10), Pages 63-68, October,2 (2014)

Abstract

Color blindness limits people from viewing true colors with their naked eyes. A color blind person faces various challenges in everyday life, be it from identifying the different traffic lights, choosing clothes, or using color dyes for concoction. A color blind person face problems to distinguish the right color in such cases. Similarly, colorblind struggles to find a software application suited to overcome their color impairment. Usually applications provide a particular feature that tends to provide a solution for a type of color blindness that might not be suitable for people having different types of color blindness. In this paper, we proposed a model which highlights mandatory features that software developers should keep in mind while developing color blind applications. This model will facilitate developers to address challenges faced by color blind by incorporating proposed features.

References

  1. Kalpa S., Health IT in Indian Healthcare System: A New Initiative, Res. J. Recent Sci.,1(6), 83-86 (2012)
  2. Wong B., Point of View: Color blindness, Nat. Methods, 8(6) (2011)
  3. De Paula J. B., Converting RGB Images to LMS Cone Activations, TR-06-49, The University of Texas, Austin, USA, (2006)
  4. Viénot F., Brettel H., Ott L., Ben M’Barek A and, Mollon J. D., What do colour-blind people see?, Nature, 376, 127–128 (1995)
  5. Post R. H., Population differences in red and green color vision deficiency: A review, and a query on selection relaxation, Biodemography and Social Biology,29 (3-4), 299–315 (1982)
  6. Egan C., Jefferies A., Dipple E. and Smith D., Do you see what I see? Understanding the challenges of colour-blindness in online learning, School of Computer Science, University of Hertfordshire, Hatfield UK, (2011)
  7. Kim H. J., Jeong J. Y., Yoon Y. J., Kim Y. H. and Ko S. J., Color Modification for Color-blind Viewers Using the Dynamic Color Transformation, IEEE Int. Conf. on Consumer Electronics (ICCE), 602-603 (2012)
  8. Ananto B.S., Sari R. and Harwahyu R., Color Transformation For Color Compensation on Augmented Reality System, Int. Conf. on User Science and Engineering (i-USEr), 129-130 (2012)
  9. Fluck D., Colblindor Color Blindness Viewed Through Colorblind Eyes, http://www.color-blindness.com/(accessed October, 2013) (2013)
  10. Dougherty and Wade A., Color Blind Image Correction, http://www.vischeck.com/daltonize/ (accessed October, 2013) (2013)
  11. Color Harmonies: Basic Techniques for Combining Colors, http://www.tigercolor.com/color-lab/color-theory/color-harmonies.htm/ (accessed October, 2013) (2013)