Abstract
One of the major challenges faced by visually challenged people is self-navigation in unknown environments. They often tend to get hurt by objects that they cannot feel using their hands or a walking cane, as certain objects are hard for a blind person to detect by just using tapping their walking cane. To avoid obstacles and navigate through a new environment, a smart belt for the visually impaired is performed in which he/she can continuously detect the obstacles around the user with its sensors that span the entire 360° of his/her field of view. Whenever an obstacle is in a nearby range, sufficiently enough to cause a hindrance, the device will give sensory cues to the user about the location of the obstacle and family members are also tracked them using GSM and GPRM system.
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References
Sailaja P (2020) IoT and ML based periodic table for visually impaired. J Adv Res Dyn Control Syst 12(SP7):2673–2682. https://doi.org/10.5373/jardcs/v12sp7/20202404
(2020) An IoT based smart assistive device for the visually impaired. In: 2020 IEEE region 10 symposium (TENSYMP). https://doi.org/10.1109/tensymp50017.2020.9231026
Choudhary S, Bhatia V, Ramkumar K (2020) IoT based navigation system for visually impaired people. In: 2020 8th international conference on reliability, Infocom technologies and optimization (Trends and Future Directions) (ICRITO). https://doi.org/10.1109/icrito48877.2020.9197857
Mudaliar MD, Sivakumar N (2020) IoT based real time energy monitoring system using Raspberry Pi. Elsevier
(2019) Assistance for visually impaired people based on ultrasonic navigation. Int J Innov Technol Explor Eng 8(11):3716–3720. https://doi.org/10.35940/ijitee.j9887.0981119
Shanmugam M, Victor J, Gupta M, Saravana Kumar K (2017) Smart stick for blind people. Int J Trend Res Dev (IJTRD). ISSN 2394-9333
Sourab BS, Sourab BS, D’Souza S Design and implementation of mobility aid for blind people, India. ISSN 978-1-4799-8371-1/2015 IEEE
Nada AA, Fakhr MA, Seddik AF In: Assistive infrared sensor based smart stick for blind people. In: IEEE conference, Egypt
Lin CH, Cheng PH, Shen ST Real-time dangling objects sensing: a preliminary design of mobile headset ancillary device for visual impaired. ISSN 978-1-4244-7929-0/14/2014 IEEE
EL-Koka A, Hwang G-H, Kang D-K Advanced electronics based smart mobility aid for the visually impaired society, Korea. ISSN 978-89-5519-163-9
Siddesh GM, Manjunath S, Srinivasa KG (2016) Application for assisting mobility for the visually impaired using IoT infrastructure. In: 2016 international conference on computing, communication and automation (ICCCA), Noida, pp 1244–1249. https://doi.org/10.1109/ccaa.2016.7813907
Mala NS, Thushara SS, Subbiah S (2017) Navigation gadget for visually impaired based on IoT. In: 2017 2nd international conference on computing and communications technologies (ICCCT), Chennai, pp 334–338. https://doi.org/10.1109/iccct2.2017.7972298
Shreyas K, Deepak G, Ramaiah NS IoT based route assistance for visually challenged, 28 March 2019. Available at SSRN https://ssrn.com/abstract=3361536 or http://dx.doi.org/10.2139/ssrn.3361536
Shaha A, Rewari S, Gunasekharan S (2018) SWSVIP-smart walking stick for the visually impaired people using low latency communication. In: 2018 international conference on smart city and emerging technology (ICSCET), pp 1–5
Verma P, Sood SK (2017) Cloud-centric IoT based disease diagnosis healthcare framework. J Ambient Intell Humanized Comput 9(5):1293–1309
Velázquez R, Pissaloux E (2017) Constructing tactile languages for situational awareness assistance of visually impaired people. Mob Vis Impaired People 597–616. https://doi.org/10.1007/978-3-319-54446-5_19
Kunta V, Tuniki C, Sairam U (2020) Multi-functional blind stick for visually impaired people. In: 2020 5th international conference on communication and electronics systems (ICCES), Coimbatore, India, pp 895–899. https://doi.org/10.1109/icces48766.2020.9137870
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Dubey, N., Patel, G., Nayak, A., Ganatra, A. (2021). IoT Based Self-Navigation Assistance for Visually Impaired. In: Pandian, A., Fernando, X., Islam, S.M.S. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-16-0965-7_48
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DOI: https://doi.org/10.1007/978-981-16-0965-7_48
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