An exploration of navigation technologies for visually challenged students at a university

Education is an important aspect of individual life and key to the region’s development. Education of disabled people has long been regarded as an area of concern. Visually disabled people struggle with a myriad of challenges for education. These challenges can be attributed to the absence of an enabling environment. The environment should provide them with proper facilities to get the education and also tools to navigate without any discomfort. Navigation in an unfamiliar environment is the common problem faced by visually impaired people. Earlier navigation in an outdoor environment was a challenge for visually disabled. With introduction of technologies like GPS (Global positioning system) it is no longer a challenging task. A GPS voice enabled smart phone will be able to do turn-by-turn navigation. A small application, Google Maps[2] with GPS Tracker on your mobile uploads your GPS position periodically over either General Packet Radio Service (GPRS) or 3G, which updates your position on a moving Google Map. GPS locates and identifies major landmarks encountered by the users and typically do not work indoors. There should be a technology to overcome this problem of indoor navigation for visually impaired. This paper studies the different technologies available for outdoor navigation, the pros and cons of each technology and proposes an ideal/best fit solution for indoor navigation in an environment like a University. Keywords— Global positioning system (GPS), General Packet Radio Service (GPRS), wireless fidelity (Wi-Fi)

[1]  Salim Ullah,et al.  RFAIDE — An RFID based navigation and object recognition assistant for visually impaired people , 2011, 2011 7th International Conference on Emerging Technologies.

[2]  Vicente F. de Lucena,et al.  Hybrid Indoor Navigation as sistant for visually impaired people based on fusion of proximity method and pattern recognition algorithm , 2016, 2016 IEEE 6th International Conference on Consumer Electronics - Berlin (ICCE-Berlin).

[3]  Vladimir A. Kulyukin,et al.  Robots as interfaces to haptic and locomotor spaces , 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[4]  Mahmoud Al-Qutayri,et al.  Blind assistant navigation system , 2011, 2011 1st Middle East Conference on Biomedical Engineering.

[5]  Lu Wang,et al.  The design and implementation of a walking assistant system with vibrotactile indication and voice prompt for the visually impaired , 2013, 2013 IEEE International Conference on Robotics and Biomimetics (ROBIO).

[6]  Giovanni Motta,et al.  Applications of Compression to Content Based Image Retrieval and Object Recognition , 2011, 2011 First International Conference on Data Compression, Communications and Processing.

[7]  John Nicholson,et al.  RoboCart: toward robot-assisted navigation of grocery stores by the visually impaired , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Kumar Yelamarthi,et al.  A wearable portable electronic travel aid for blind , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[9]  M. R. Bharath Kumar,et al.  Design for visually impaired to work at Industry using RFID technology , 2015, 2015 International Conference on Electronic Design, Computer Networks & Automated Verification (EDCAV).

[10]  Abdelsalam Helal,et al.  Drishti: an integrated indoor/outdoor blind navigation system and service , 2004, Second IEEE Annual Conference on Pervasive Computing and Communications, 2004. Proceedings of the.

[11]  B. R. Prudhvi,et al.  Silicon eyes: GPS-GSM based navigation assistant for visually impaired using capacitive touch braille keypad and smart SMS facility , 2013, 2013 World Congress on Computer and Information Technology (WCCIT).