Guide-Me: Voice authenticated indoor user guidance system

Due to a lack of knowledge about the building structure and possible impediments, the majority of blind persons require assistance when traveling through unknown regions. To solve this issue, this paper provides "Guide-Me" as a strategy for indoor navigation with optimum accessibility, usa...

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Bibliographic Details
Published in2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) pp. 0509 - 0514
Main Authors Dissanayake, D. M. L. V, Rajapaksha, R. G. M. D. R. P, Prabhashawara, U. P, Solanga, S. A. D. S.P, Anuradha Jayakody, J. A. D. C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2021
Subjects
Authentication
Guide-Me
Indoor navigation
localization
Location awareness
Machine learning
Machine learning algorithms
Protocols
Servers
vision impaired
voice authentication
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Summary:Due to a lack of knowledge about the building structure and possible impediments, the majority of blind persons require assistance when traveling through unknown regions. To solve this issue, this paper provides "Guide-Me" as a strategy for indoor navigation with optimum accessibility, usability, and security, decreasing obstacles that the user may meet when traveling through indoor surroundings. Because the intended audience for this research is blind or visually impaired persons, "Guide-Me" makes use of the user's voice-based inputs. This paper also includes Bluetooth beacon integration for localization, a Smart stick with sensors for obstacle detection, a machine learning model for voice authentication, and an algorithm protocol for a secure connection between server and application Integration driven architecture to assist vision impaired in navigating the known and unknown indoor environment.
DOI:10.1109/UEMCON53757.2021.9666733