Young Researcher Paper Award 2023
🥇Winners

Notice of retraction
Vol. 34, No. 8(3), S&M3042

Notice of retraction
Vol. 32, No. 8(2), S&M2292

Print: ISSN 0914-4935
Online: ISSN 2435-0869
Sensors and Materials
is an international peer-reviewed open access journal to provide a forum for researchers working in multidisciplinary fields of sensing technology.
Sensors and Materials
is covered by Science Citation Index Expanded (Clarivate Analytics), Scopus (Elsevier), and other databases.

Instructions to authors
English    日本語

Instructions for manuscript preparation
English    日本語

Template
English

Publisher
 MYU K.K.
 Sensors and Materials
 1-23-3-303 Sendagi,
 Bunkyo-ku, Tokyo 113-0022, Japan
 Tel: 81-3-3827-8549
 Fax: 81-3-3827-8547

MYU Research, a scientific publisher, seeks a native English-speaking proofreader with a scientific background. B.Sc. or higher degree is desirable. In-office position; work hours negotiable. Call 03-3827-8549 for further information.


MYU Research

(proofreading and recording)


MYU K.K.
(translation service)


The Art of Writing Scientific Papers

(How to write scientific papers)
(Japanese Only)

Sensors and Materials, Volume 31, Number 4(3) (2019)
Copyright(C) MYU K.K.
pp. 1305-1324
S&M1858 Research Paper
https://doi.org/10.18494/SAM.2019.2232
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


Creative Commons License
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.



Forthcoming Regular Issues


Forthcoming Special Issues

Applications of Novel Sensors and Related Technologies for Internet of Things
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


Special Issue on Advanced Sensing Technologies for Green Energy
Guest editor, Yong Zhu (Griffith University)
Call for paper


Special Issue on Room-temperature-operation Solid-state Radiation Detectors
Guest editor, Toru Aoki (Shizuoka University)
Call for paper


Special Issue on International Conference on Biosensors, Bioelectronics, Biomedical Devices, BioMEMS/NEMS and Applications 2023 (Bio4Apps 2023)
Guest editor, Dzung Viet Dao (Griffith University) and Cong Thanh Nguyen (Griffith University)
Conference website
Call for paper


Special Issue on Advanced Sensing Technologies and Their Applications in Human/Animal Activity Recognition and Behavior Understanding
Guest editor, Kaori Fujinami (Tokyo University of Agriculture and Technology)
Call for paper


Special Issue on Piezoelectric Thin Films and Piezoelectric MEMS
Guest editor, Isaku Kanno (Kobe University)
Call for paper


Copyright(C) MYU K.K. All Rights Reserved.