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Journal of Cognitive Human-Computer Interaction
Volume 1 , Issue 2, PP: 81 - 85 , 2021 | Cite this article as | XML | Html |PDF

Title

Survey On Smart Cane For Visually Impaired Using IOT

  Sonia Jenifer Rayen 1 *

1  Associate Professor, Department of Computer Science and Engineering, Jeppiaar Institute of Technology, India
    (soniya@jeppiaarinstitute.org)


Doi   :   DOI: https://doi.org/10.54216/JCHCI.010205

Received: August 25, 2021 Accepted: December 25, 2021

Abstract :

This fundamental point of this task to give a voice-based route framework for the outwardly tested voice acknowledgment module and it is planned to give in general estimates object discovery and constant help through Worldwide Situating Framework (GPS) and ultrasonic sensors. This venture focuses on the advancement of an Electronic Voyaging Help (Estimated time of arrival) unit to assist the visually impaired individuals with finding an impediment free way. This Estimated time of arrival is fixed to the stick of the outwardly tested. At the point when the item is distinguished close to the stick of the outwardly hindered it cautions them with the assistance of the vibratory circuit. The outwardly tested will give the objective's name as the contribution to the voice acknowledgment module. GPS module persistently gets the scope and longitude of the current area. GPS contrasts it and the objective's scope and longitude. The outwardly tested gets the articulated headings which he wants to follow to arrive at his objective

Keywords :

Global Positioning System , Electronic Travelling Aid , Navigation System , Latitude and Longitude

References :

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 [2] Mrunal Pawar, Minal Pawar and Rohit Najawan, “Route Finding Application for Blind People”, International Journal of Engineering Development and Research (IJEDR), Volume 4, Issue 2, 2016, pp. 144-147.

[3] K. Ramarethinam, Mrs K. Thenkumari and P.Kalaiselvan, “Navigation System for Blind People Using GPS & GSM Techniques”, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (IJIREEIE), Vol. 3, Special Issue 2, April 2014, pp. 398405.

 [4] Anushree Harsur and Chitra.M, “Voice Based Navigation System for Blind People Using Ultrasonic Sensor”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), Volume: 3 Issue: 6, June 2015, pp. 4117 – 4122.

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[7]  VDA Kumar, D Elangovan, G Gokul, JP Samuel, VDA Kumar, " Wireless sensing system for the welfare of sewer labourers", Healthcare technology letters 5 (4), 107-112. DOI: 10.1049/htl.2017.0017

[8]  Kumar, V.D.A., Sharmila, S., Kumar, A. et al. A novel solution for finding postpartum haemorrhage using fuzzy neural techniques. Neural Comput & Applic (2021). https://doi.org/10.1007/s00521-020-05683-z

[9]  Ambeth Kumar V.D., Ramakrishan M. (2011) Footprint Based Recognition System. In: Das V.V., Thomas G., Lumban Gaol F. (eds) Information Technology and Mobile Communication. AIM 2011. Communications in Computer and Information Science, vol 147. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20573-6_63.

 

[10] M. Anitha, V. D. Ambeth Kumar, S. Malathi, V. D. Ashok Kumar, M. Ramakrishnan, Abhishek Kumar, and Rashid Ali, “ A survey on the usage of pattern recognition and image analysis methods for the lifestyle improvement on low vision and visually impaired people”, Pattern Recognition and Image Analysis” Journal and will be published in Issue 1, Vol. 31, 2021


Cite this Article as :
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MLA Sonia Jenifer Rayen. "Survey On Smart Cane For Visually Impaired Using IOT." Journal of Cognitive Human-Computer Interaction, Vol. 1, No. 2, 2021 ,PP. 81 - 85 (Doi   :  DOI: https://doi.org/10.54216/JCHCI.010205)
APA Sonia Jenifer Rayen. (2021). Survey On Smart Cane For Visually Impaired Using IOT. Journal of Journal of Cognitive Human-Computer Interaction, 1 ( 2 ), 81 - 85 (Doi   :  DOI: https://doi.org/10.54216/JCHCI.010205)
Chicago Sonia Jenifer Rayen. "Survey On Smart Cane For Visually Impaired Using IOT." Journal of Journal of Cognitive Human-Computer Interaction, 1 no. 2 (2021): 81 - 85 (Doi   :  DOI: https://doi.org/10.54216/JCHCI.010205)
Harvard Sonia Jenifer Rayen. (2021). Survey On Smart Cane For Visually Impaired Using IOT. Journal of Journal of Cognitive Human-Computer Interaction, 1 ( 2 ), 81 - 85 (Doi   :  DOI: https://doi.org/10.54216/JCHCI.010205)
Vancouver Sonia Jenifer Rayen. Survey On Smart Cane For Visually Impaired Using IOT. Journal of Journal of Cognitive Human-Computer Interaction, (2021); 1 ( 2 ): 81 - 85 (Doi   :  DOI: https://doi.org/10.54216/JCHCI.010205)
IEEE Sonia Jenifer Rayen, Survey On Smart Cane For Visually Impaired Using IOT, Journal of Journal of Cognitive Human-Computer Interaction, Vol. 1 , No. 2 , (2021) : 81 - 85 (Doi   :  DOI: https://doi.org/10.54216/JCHCI.010205)