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A Computer Vision-based Assistive Mobile Application for the Visually Impaired

컴퓨터 비전 기반 시각 장애 지원 모바일 응용

  • Secondes, Arnel A. (Institute of Information and Communications Technology, West Visyas State University) ;
  • Otero, Nikki Anne Dominique D. (Institute of Information and Communications Technology, West Visyas State University) ;
  • Elijorde, Frank I. (Institute of Information and Communications Technology, West Visyas State University) ;
  • Byun, Yung-Cheol (Dept. of Computer Engineering, Jeju National University)
  • Received : 2016.10.17
  • Accepted : 2016.11.21
  • Published : 2016.12.01

Abstract

People with visual disabilities suffer environmentally, socially, and technologically. Navigating through places and recognizing objects are already a big challenge for them who require assistance. This study aimed to develop an android-based assistive application for the visually impaired. Specifically, the study aimed to create a system that could aid visually impaired individuals performs significant tasks through object recognition and identifying locations through GPS and Google Maps. In this study, the researchers used an android phone allowing a visually impaired individual to go from one place to another with the aid of the application. Google Maps is integrated to utilize GPS in identifying locations and giving distance directions and the system has a cloud server used for storing pinned locations. Furthermore, Haar-like features were used in object recognition.

Keywords

References

  1. Pascolini, D., Mariotti S. P., "Global estimates of visual impairment: 2010," British Journal Ophthalmology, 2011.
  2. "Elimination of Avoidable Blindness Report by the Secretariat," World Health Organisation, Fifty-sixth World Health Assembly, 2003.
  3. Visual impairment and blindness: Fact sheet number 282, http://www.who.int/mediacentre/factsheets/fs282/en/, WHO media center, 2012.
  4. Jae-Han P., Seung-Ho, P., Moon-Hong, B., "An intelligent navigation method for services robots in the Smart Environment," International Conference on Control, Automation and Systems, pp. 494-498, 2007.
  5. Espinosa, M. A., Ungar, S., Ochaíta, E., "Comparing Methods for Introducing Blind and Visually Impaired People to Unfamiliar Urban Environments," Journal of Environmental Psychology, pp. 277-287, 1998.
  6. Schmidt, F., "Fundamentals of Sensory Physiology," Springer, 1979.
  7. Murad M., Rehman A., Shah A. A., Ullah S., Fahad M., and Yahya K. M., "RFAIDE-An RFID Based Navigation and Object Recognition Assistant for Visually Impaired People," 7th International Conference on Emerging Technologies, Islamabad, Pakistan, 2011.
  8. "A Buzzing Sonar Watch That Helps Blind People Navigate," http://www.wired.com/2014/11/buzzing-sonarwatch-helps-blind-people-navigate/
  9. Crandall W., Brabyn J., Bentzen B. L., and Myers L., "Remote infrared signage evaluation for transit stations and intersections," J. of Rehabil Res Dev., vol. 4, pp.341-355, 1999.
  10. Nanayakkara S. C., Shilkrot R. and Maes P., "EyeRing: An Eye on a Finger," Intl. Conf. Human Factors in Computing, 2012.
  11. Fink, W., "DORA: Digital Object-Recognition Audio-Assistant for the Visually Impaired," http://autonomy.caltech.edu/biomedicine/dora.html.
  12. Singhal, M., Shukla, A., "Implementation of Location based Services in Android using GPS and Web Services," IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 1, 2012.
  13. Radhika Rani Ch., Praveen Kumar A., Adarsh D., Krishna Mohan K., Kiran K.V., "Location Based Services In Android," International Journal of Advances In Engineering & Technology, 2012.
  14. LookTel Recognizer, http://www.looktel.com/recognizer