Young Researcher Paper Award 2021
🥇Winners

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 34, Number 1(2) (2022)
Copyright(C) MYU K.K.
pp. 225-235
S&M2806 Research Paper of Special Issue
https://doi.org/10.18494/SAM3559
Published: January 27, 2022

Pressure-sensor-based Gait Analysis for Disabled People [PDF]

Yeou-Jiunn Chen, Chung-Min Wu, Pei-Chung Chen, Aaron Raymond See, and Shih-Chung Chen

(Received May 29, 2021; Accepted December 2, 2021)

Keywords: pressure sensor, gait disorder, gait analysis

The issue of aging is a complex social challenge. When elderly people suffer from diseases such as hemiplegia, their quality of life is greatly affected. The only way to reduce the impact of such diseases is to perform long-term rehabilitation, which is extremely time-consuming. Thus, gait information for clinical practice can effectively help subjects with stroke and their occupational therapists. In this study, a pressure-sensor-based gait analysis system is proposed to help occupational therapists evaluate the gait of disabled people. To effectively acquire gait information without affecting the user’s activities, the insole of the foot is selected as the pressure-sensing interface. To accurately acquire information of the plantar pressure, force-sensing resistor (FSR) film pressure sensors (FPSs) are used. To greatly reduce the differences between the outputs of FSR FPSs, linear regression is used to normalize the outputs. To correctly detect the steps in the gait cycle, an endpoint detection algorithm is applied. The experimental results showed that the proposed normalization process can greatly reduce the differences between the outputs of FSR FPSs. Moreover, occupational therapists agreed that the proposed system can help them evaluate the gait of users.

Corresponding author: Shih-Chung Chen


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Cite this article
Yeou-Jiunn Chen, Chung-Min Wu, Pei-Chung Chen, Aaron Raymond See, and Shih-Chung Chen, Pressure-sensor-based Gait Analysis for Disabled People, Sens. Mater., Vol. 34, No. 1, 2022, p. 225-235.



Forthcoming Regular Issues


Forthcoming Special Issues

Special Issue on Collection, Processing, and Applications of Measured Sensor Signals
Guest editor, Hsiung-Cheng Lin (National Chin-Yi University of Technology)


Special Issue on Advanced Materials and Sensing Technologies on IoT Applications: Part 4-3
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)


Special Issue on IoT Wireless Networked Sensing for Life and Safety
Guest editor, Toshihiro Itoh (The University of Tokyo) and Jian Lu (National Institute of Advanced Industrial Science and Technology)
Call for paper


Special Issue on the International Multi-Conference on Engineering and Technology Innovation 2021 (IMETI2021)
Guest editor, Wen-Hsiang Hsieh (National Formosa University)
Conference website


Special Issue on Biosensors and Biofuel Cells for Smart Community and Smart Life
Guest editor, Seiya Tsujimura (University of Tsukuba), Isao Shitanda (Tokyo University of Science), and Hiroaki Sakamoto (University of Fukui)
Call for paper


Special Issue on Novel Sensors and Related Technologies on IoT Applications: Part 1
Guest editor, Teen-Hang Meen (National Formosa University), Wenbing Zhao (Cleveland State University), and Cheng-Fu Yang (National University of Kaohsiung)
Call for paper


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