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IoT Based Self-Navigation Assistance for Visually Impaired

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Computer Networks, Big Data and IoT

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 66))

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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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Correspondence to Nilesh Dubey .

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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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-0964-0

  • Online ISBN: 978-981-16-0965-7

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