Sight is essential in our daily tasks. Compensatory senses have been used for centuries by visually impaired individuals to navigate independently. The help of technology can minimize some challenges for visually impaired individuals. Assistive navigation technologies facilitate the pathfinding and tracing in indoor scenarios. Different modules are added to assistive navigation technologies to warn about the obstacles not only on the ground but about hanging objects. In this work, we attempt to explore new methods to assist visually impaired individuals in navigating independently in an indoor scenario. We employed a location estimation algorithm based on the fingerprinting method to estimate the initial location of the user. We mitigate the error of estimation with particle filter. The shortest path has been calculated with an A* algorithm. To provide the user with an accident-free experiment, we employed an obstacle avoidance algorithm capable of warning the users about the potential hazards. Finally, to provide an effective means of communication with the user, we employed text-to-speech and speech recognition algorithms. The main contribution of this work is to glue these modules together efficiently and affordably.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1707284 |
| Date | 08 1900 |
| Creators | Norouzi Kandalan, Roya |
| Contributors | Namuduri, Kamesh, Varanasi, Murali R., Buckles, Bill P., 1942-, Li, Xirong, Devasigamani, Raj |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | viii, 80 pages, Text |
| Rights | Public, Norouzi Kandalan, Roya, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
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