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An Audio Based Bus Proximity Indicator For Visually Challenged People
[Full Text]
AUTHOR(S)
Thamodhiran. V, Ponvannan.V, Jino James Joseph, G.V.Jason Jebasingh
KEYWORDS
transmitter, receiver, microcontroller, bus proximity, encoder, decoder.
ABSTRACT
It is always good to know a bus commuter waiting at a stop gets to know how far a bus is. Based on the investigation about daily activity characteristics and modes of the blind, the study found that the main difficulties encountered in a trip of the blind included walking on the road, finding way, taking a bus and looking for usual life-area. If his route of travel happens to be common for more than one bus- route number, it is even better for him to know which is the nearest bus or the earliest arriving bus. This will enable him to opt for the bus or some other mode of commuting. This becomes very useful for the physically challenged commuter, as after knowing in advance the bus arrival he/she will be ready to accommodate in the bus. A thought of project Bus Proximity Indicator is the best solution for the above situation and is best suitable for the visually challenged people. In this a wireless RF linkage between a certain bus and a bus stop can be used for determination of the bus proximity that help’s commuter to know how far his bus is and to identify the bus number through audio signal from audio playback recorder.
REFERENCES
[1] Bus Proximity Indicator (An Intelligent Bus Stop) Prof. A.P. Thakare, Mr.Vinod H. Yadav International Journal of Scientific & Engineering Research Volume 2, Issue 4, April-2011
[2] S. Alghamdi and R. van Schyndel, “Accurate positioning based on a combination of power attenuation and a signal strength indicator using active RFID technology,” in 2012 International Conference on Indoor Positioning and Indoor Navigation; Paper, Sydney, Australia (November 2012).
[3] M. Meints, “D3. 7 a structured collection on information and literature on technological and usability aspects of radio frequency identification (RFID),” FIDIS deliverable, vol. 3, no. 7, 2007.
[4] P. Magrassi and T. Berg, “A world of smart objects: The role of auto identification technologies,” 2001.
[5] Sin Murad, Abdullah Rehman, Arif Ali Shah, “RFAIDE – An RFID Based Navigation and Object Recognition Assistant for Visually Impaired People”, IEEE, 2011.
[6] A. R. García, R. Fonseca. A. Durán, “Electronic long cane for locomotion improving on visual impaired people. A case study”, IEEE, 2011
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