References
- WHO, World Health Organization. Fact Sheet N282. 2011. Available from: http://www.who.int/mediacentre/factsheets/fs282/en/ [last accessed 8 Jan 2013].
- NLM, National Library of medicine. Leading Causes of Blindness. 2008. Available from: http://www.nlm.nih.gov/medlineplus/magazine/issues/summer08/articles/summer08pg14-15.html [last accessed 8 Jan 2013].
- José J, Farrajota M, Rodrigues JMF, du Buf JMH. The smart vision local navigation aid for blind and visually impaired persons. Int J Dig Content Technol Appl 2011;5:362–75
- Hernández DC, Kim T, Jo K-H. Stairway detection based on single camera by motion stereo. Paper presented at the 24th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems; 2011; Syracuse
- Ju JS, Ko E, Kim EY. EYECane: navigating with camera embedded white cane for visually impaired person. Paper presented at the 11th ACM Conference on Computers and Accessibility; 2009; Pittsburgh
- Chen L, Guo B-L, Sun W. Obstacle detection system for visually impaired people based on stereo vision. Paper presented at the 2010 4th International Conference on Genetic and Evolutionary Computing; 2010; Shenzhen
- Pradeep V, Medioni G, Weiland J. A wearable system for the visually impaired. Paper presented at the 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society; 2010; Buenos Aires
- Akhter S, Mirsalahuddin J, Marquina FB, et al. A smartphone-based haptic vision substitution system for the blind. Paper presented at the IEEE 37th Annual Northeast Bioengineering Conference; 2011; Troy
- Peng E, Peursum P, Li L, Venkatesh S. A smartphone-based obstacle sensor for the visually impaired. Paper presented at the 7th International Conference on Ubiquitous Intelligence and Computing; 2010; Xi’an
- AbdulRasool D, Sabra S. Mobile-embedded smart guide for the blind. Paper presented at the 2011 International Conference on Digital Information and Communication Technology and Its Applications; 2011; Bourgogne
- García AR, Fonseca R, Durán A. Electronic long cane for locomotion improving on visual impaired people: a case study. Paper presented at 2011 Pan American Health Care Exchanges, 2011; Brazil
- Okayasu M. Newly developed walking apparatus for identification of obstructions by visually impaired people. J Mech Sci Technol 2010;24:1261–4
- Kurata T, Kourogi M, Ishkawa T, et al. Indoor-outdoor navigation system for visually-impaired pedestrians: preliminary evaluation of position measurement and obstacle display. Paper presented at the 15th Annual International Symposium on Wearable Computers; 2011; San Francisco
- Gallo S, Chapuis D, Santos-Carreras L, et al. Augmented white cane with multimodal haptic feedback. Paper presented at the 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics; 2010; Tokyo
- Krishna S, Bala S, McDaniel T, et al. VibroGlove: an assistive technology aid for conveying facial expressions. Paper presented at the 28th ACM Conference on Human Factors in Computing Systems; 2010; Atlanta
- Ando T, Yamamoto M, Seki M, Fujie MG. Development of a cane with a haptic interface using IC tags for the visually impaired. Paper presented at the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems; 2009; St. Louis
- Sharp GP2Y0A02YK sensor. Available from: http://www.sgbotic.com/index.php?dispatch=products.view&product_id=22 [last accessed 8 Jan 2013].
- Arduino Pro Mini. Available from: http://www.arduino.cc/en/Main/ArduinoBoardProMini [last accessed 8 Jan 2013].
- VirtualWire Library. Available from: http://www.pjrc.com/teensy/td_libs_VirtualWire.html [last accessed 8 Jan 2013].
- Gyro Breakout Board – LPR530AL Dual 300°/s. Available from: https://www.sparkfun.com/products/9990 [last accessed 8 Jan 2013].
- Zhang J, Lip CW, Ong SK, Nee AYC. Development of a shoe-mounted assistive user interface for navigation. Int J Sens Netw 2011;9:3–12