Abstract
Navigating in unknown places can be challenging for people who are deprived of the benefit of sight. The focus of advancements in navigation systems is extended onto helping the visually impaired understand the structure of their surroundings whilst they are traveling. The main idea behind the proposed method is to eliminate the dependency of the visually impaired on unreliable sources in an unfamiliar locality. Most of the public buildings these days, such as college and office buildings are equipped with their own Wi-Fi network which is used by the proposed indoor navigation assistant to direct the user while navigating inside the building. Using the Received Signal Strength Indicator (RSSI) values that are taken from each access point, trilateration is performed for localization, and the speech output guides the person by informing about the current location and thus making it possible for the visually impaired to move inside a building without any human assistance.
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Mahadevaswamy, U.B., Aashritha, D., Joshi, N.S., Naina Gowda, K.N., Syed Asif, M.N. (2021). Indoor Navigation Assistant for Visually Impaired (INAVI). In: Bindhu, V., Tavares, J.M.R.S., Boulogeorgos, AA.A., Vuppalapati, C. (eds) International Conference on Communication, Computing and Electronics Systems. Lecture Notes in Electrical Engineering, vol 733. Springer, Singapore. https://doi.org/10.1007/978-981-33-4909-4_17
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DOI: https://doi.org/10.1007/978-981-33-4909-4_17
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