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.
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Global trends in the magnitude of blindness and visual impairment, http://www.who.int/blindness/causes/trends/en/
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)
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)
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)
Kolorami, https://itunes.apple.com/us/app/kolorami/id394254215?mt=8
Color Helper, https://play.google.com/store/apps/details?id=co.codete.android.colorhelper
Color Identifier, http://itunes.apple.com/us/app/coloridentifier/id363346987?mt=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)
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)
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)
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)
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)
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Al-Doweesh, S.A., Al-Hamed, F.A., Al-Khalifa, H.S. (2014). What Color? A Real-time Color Identification Mobile Application for Visually Impaired People. In: Stephanidis, C. (eds) HCI International 2014 - Posters’ Extended Abstracts. HCI 2014. Communications in Computer and Information Science, vol 435. Springer, Cham. https://doi.org/10.1007/978-3-319-07854-0_36
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DOI: https://doi.org/10.1007/978-3-319-07854-0_36
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