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Sensors and Materials, Volume 31, Number 4(3) (2019)
Copyright(C) MYU K.K. All Rights Reserved.
S&M1858 Research Paper
Published: April 30, 2019
Fuzzy-logic-based Walking Context Analysis for Visually Impaired Navigation [PDF]
Chathurika Sewwandi Silva and Prasad Wimalaratne
(Received December 12, 2018; Accepted March 8, 2019)
Keywords: context aware, fuzzy logic, assistive technology, wearable sensors, human–computer interaction
In this work, we present a walking context analysis for the electronic navigation of visually impaired persons. The walking context is defined as the safety level of the walking condition. An extensive literature review provided the framework for the model developed in this research. A hybrid fuzzy logic model is built to evaluate this safety level on the basis of several environmental and personal factors identified in the navigation. Range measurements related to the obstacles in the surrounding environment are acquired by sonar sensors, and personal information taken by the prototype is the input to the fuzzy logic model, which is used to evaluate the safety level of the current walking context of the visually impaired person. An audio feedback relevant to the walking context is provided, indicating the safety level and direction of motion. The obtained results proved the successful operation and effectiveness of the fuzzy control in reducing the navigation time and increasing safety because it clarifies the uncertainty in each situation as compared with the nonfuzzy approach. The current status of the work and future developments are presented in this paper.
Corresponding author: Chathurika Sewwandi Silva
This work is licensed under a Creative Commons Attribution 4.0 International License.
Cite this article
Chathurika Sewwandi Silva and Prasad Wimalaratne, Fuzzy-logic-based Walking Context Analysis for Visually Impaired Navigation, Sens. Mater., Vol. 31, No. 4, 2019, p. 1305-1324.
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