What Color? A Real-time Color Identification Mobile Application for Visually Impaired People

  • Sara A. Al-Doweesh
  • Felwah A. Al-Hamed
  • Hend S. Al-Khalifa
Part of the Communications in Computer and Information Science book series (CCIS, volume 435)

Abstract

In this paper we present an iPhone application that facilitates the operation of detecting colors for blind and visually impaired people in real-time. In order to detect colors, we take the input from the device camera then we process pixel values to produce the color using HSL color space, the detected color will be displayed as label on screen as well as uttering it. Moreover, the application can view a set of colors that match a specific color to help blind people choosing clothes before promenading. We tested the application on a set of blind and visually impaired people to evaluate the application accuracy and usability. Our evaluation showed that the application provides high detection accuracy of colors in different lighting conditions. Furthermore, the application satisfies its users’ needs.

Keywords

Color Detection Visually Impaired Clothes Matching Hue- Saturation-Luminance (HSL) Real-time Identification Camera Phone 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Global trends in the magnitude of blindness and visual impairment, http://www.who.int/blindness/causes/trends/en/
  2. 2.
    Paisios, N., Subramanian, L., Rubinsteyn, A.: Choosing which Clothes to Wear Confidently: A Tool for Pattern Matching. In: Workshop on Frontiers in Accessibility for Pervasive Computing. ACM (2012)Google Scholar
  3. 3.
    Kwanchai, K., Prajin, P., Wichian, P.: Development of Object Detection Software for Mobile Robot using an AForce.Net Framework. In: Ninth International Conference on ICT and Knowledge Engineering, pp. 201–206. IEEE Thailand (2011)Google Scholar
  4. 4.
    Peng, E., Peursum, P., Li, L., Venkatesh, S.: A Smartphone-Based Obstacle Sensor for the Visually Impaired. In: Yu, Z., Liscano, R., Chen, G., Zhang, D., Zhou, X. (eds.) UIC 2010. LNCS, vol. 6406, pp. 590–604. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  5. 5.
  6. 6.
  7. 7.
  8. 8.
    Le, T.T., Tran, S.T., Mita, S., Nguyen, T.D.: Real Time Traffic Sign Detection Using Color and Shape-Based Features. In: Nguyen, N.T., Le, M.T., Świątek, J. (eds.) ACIIDS 2010. LNCS, vol. 5991, pp. 268–278. Springer, Heidelberg (2010)Google Scholar
  9. 9.
    Pan, R., Gao, W., Liu, J.: Color Clustering Analysis of Yarn-dyed Fabric in HSL Color Space. In: WRI World Congress on Software Engineering, WCSE 2009, vol. 2, pp. 273–278. IEEE, Xiamen (2009)CrossRefGoogle Scholar
  10. 10.
    Tian, Y., Yuan, S.: Clothes Matching for Blind and Color Blind People. In: Miesenberger, K., Klaus, J., Zagler, W., Karshmer, A. (eds.) ICCHP 2010, Part II. LNCS, vol. 6180, pp. 324–331. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  11. 11.
    Rhyne, T.: Applying Artistic Color Theories to Visualization. In: Dill, J., et al. (eds.) Expanding the Frontiers of Visual Analytics and Visualization, pp. 263–283. Springer London (2012)Google Scholar
  12. 12.
    Toledo, F.J., Martínez, J.J., Garrigós, J., Ferrández, J.: Skin Color Detection For Real Time Mobile Applications (Spain In Field Programmable Logic and Applications). In: International Conference on FPL 2006. IEEE Spain (2006)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Sara A. Al-Doweesh
    • 1
  • Felwah A. Al-Hamed
    • 1
  • Hend S. Al-Khalifa
    • 2
  1. 1.Center of Excellence for Telecom ApplicationsKing Abdulaziz City for Science and TechnologySaudi Arabia
  2. 2.Information Technology Department, College of Computer and Information ScienceKing Saud UniversityRiyadhSaudi Arabia

Personalised recommendations