Development of a Computer Vision System for the Blind and Visually Impaired Person
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32797
Development of a Computer Vision System for the Blind and Visually Impaired Person

Authors: Roselyn A. Maaño

Abstract:

Eyes are an essential and conspicuous organ of the human body. Human eyes are outward and inward portals of the body that allows to see the outside world and provides glimpses into ones inner thoughts and feelings. Inevitable blindness and visual impairments may results from eye-related disease, trauma, or congenital or degenerative conditions that cannot be corrected by conventional means. The study emphasizes innovative tools that will serve as an aid to the blind and visually impaired (VI) individuals. The researchers fabricated a prototype that utilizes the Microsoft Kinect for Windows and Arduino microcontroller board. The prototype facilitates advanced gesture recognition, voice recognition, obstacle detection and indoor environment navigation. Open Computer Vision (OpenCV) performs image analysis, and gesture tracking to transform Kinect data to the desired output. A computer vision technology device provides greater accessibility for those with vision impairments.

Keywords: Algorithms, Blind, Computer Vision, Embedded Systems, Image Analysis.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1089000

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 3542

References:


[1] Shah, C. Bouzit, M., Youssef, M. &Vasquez, L. Evaluation of RU-Netra - Tactile feedback navigation system for the visually impaired. Page(s):72 – 77; ISBN:1-4244-0280-8; INSPEC Accession Number: 9273838; DOI: 10.1109/IWVR.2006.1707530.
[2] Science Daily Georgetown University Medical Center. People blind from birth use visual brain area to improve other senses: Can hear and feel with greater acuity. Retrieved from http://www.sciencedaily.com, October 10, 2010.
[3] Product Features | Microsoft Kinect for Windows. (n.d.).Retrieved from http://www.microsoft.com.
[4] A second hard look at blindness. The Philippine Star. Retrieved from http://www.philstar.com. December 18, 2012.
[5] W. K. Holstein. Research and Development. Retrieved from http://global.britannica.com. 2013.
[6] Borg, Gall and Gall. Education Research: An Introduction. Massachusetts: USA, 2011.
[7] Parts of Windows for Kinect. Retrieved from http://msdn.microsoft.com.
[8] Arduino microcontroller. Arduino official page. http://arduino.cc, 2013.
[9] ArUco: a minimal library for Augmented Reality applications based on OpenCv. Retrieved from http://www.uco.es.
[10] Kinect depth inpainting and filtering. Retrieved from http://www.radfordparker.com.
[11] Surbhi Syal, Sandeep Sood , Sunny Sharma, Er. Navneet Randhawa. Segmented character recognition using neural networks. Retrieved from http://www.ijera.com. Vol. 1, Issue 4, pp.1731-1735ISSN: 2248-9622.