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2021 | OriginalPaper | Buchkapitel

IoT Based Self-Navigation Assistance for Visually Impaired

verfasst von : Nilesh Dubey, Gaurang Patel, Amit Nayak, Amit Ganatra

Erschienen in: Computer Networks, Big Data and IoT

Verlag: Springer Singapore

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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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Metadaten
Titel
IoT Based Self-Navigation Assistance for Visually Impaired
verfasst von
Nilesh Dubey
Gaurang Patel
Amit Nayak
Amit Ganatra
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-0965-7_48

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