Cargando…

Adjustable Method for Real-Time Gait Pattern Detection Based on Ground Reaction Forces Using Force Sensitive Resistors and Statistical Analysis of Constant False Alarm Rate

A new approach is proposed to detect the real-time gait patterns adaptively through measuring the ground contact forces (GCFs) by force sensitive resistors (FSRs). Published threshold-based methods detect the gait patterns by means of setting a fixed threshold to divide the GCFs into on-ground and o...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Fangli, Zheng, Jianbin, Yu, Lie, Zhang, Rui, He, Hailin, Zhu, Zhenbo, Zhang, Yuanpeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263965/
https://www.ncbi.nlm.nih.gov/pubmed/30400335
http://dx.doi.org/10.3390/s18113764
_version_ 1783375387219197952
author Yu, Fangli
Zheng, Jianbin
Yu, Lie
Zhang, Rui
He, Hailin
Zhu, Zhenbo
Zhang, Yuanpeng
author_facet Yu, Fangli
Zheng, Jianbin
Yu, Lie
Zhang, Rui
He, Hailin
Zhu, Zhenbo
Zhang, Yuanpeng
author_sort Yu, Fangli
collection PubMed
description A new approach is proposed to detect the real-time gait patterns adaptively through measuring the ground contact forces (GCFs) by force sensitive resistors (FSRs). Published threshold-based methods detect the gait patterns by means of setting a fixed threshold to divide the GCFs into on-ground and off-ground statuses. However, the threshold-based methods in the literature are neither an adaptive nor a real-time approach. To overcome these drawbacks, this study utilized the constant false alarm rate (CFAR) to analyze the characteristics of GCF signals. Specifically, a sliding window detector is built to record the lasting time of the curvature of the GCF signals and one complete gait cycle could be divided into three areas, such as continuous ascending area, continuous descending area and unstable area. Then, the GCF values in the unstable area are used to compute a threshold through the CFAR. Finally, the new gait pattern detection rules are proposed which include the results of the sliding window detector and the division results through the computed threshold. To verify this idea, a data acquisition board is designed to collect the GCF data from able-bodied subjects. Meanwhile, in order to test the reliability of the proposed method, five threshold-based methods in the literature are introduced as reference methods and the reliability is validated by comparing the detection results of the proposed method with those of the reference methods. Experimental results indicated that the proposed method could be used for real-time gait pattern detection, detect the gait patterns adaptively and obtain high reliabilities compared with the reference methods.
format Online
Article
Text
id pubmed-6263965
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-62639652018-12-12 Adjustable Method for Real-Time Gait Pattern Detection Based on Ground Reaction Forces Using Force Sensitive Resistors and Statistical Analysis of Constant False Alarm Rate Yu, Fangli Zheng, Jianbin Yu, Lie Zhang, Rui He, Hailin Zhu, Zhenbo Zhang, Yuanpeng Sensors (Basel) Article A new approach is proposed to detect the real-time gait patterns adaptively through measuring the ground contact forces (GCFs) by force sensitive resistors (FSRs). Published threshold-based methods detect the gait patterns by means of setting a fixed threshold to divide the GCFs into on-ground and off-ground statuses. However, the threshold-based methods in the literature are neither an adaptive nor a real-time approach. To overcome these drawbacks, this study utilized the constant false alarm rate (CFAR) to analyze the characteristics of GCF signals. Specifically, a sliding window detector is built to record the lasting time of the curvature of the GCF signals and one complete gait cycle could be divided into three areas, such as continuous ascending area, continuous descending area and unstable area. Then, the GCF values in the unstable area are used to compute a threshold through the CFAR. Finally, the new gait pattern detection rules are proposed which include the results of the sliding window detector and the division results through the computed threshold. To verify this idea, a data acquisition board is designed to collect the GCF data from able-bodied subjects. Meanwhile, in order to test the reliability of the proposed method, five threshold-based methods in the literature are introduced as reference methods and the reliability is validated by comparing the detection results of the proposed method with those of the reference methods. Experimental results indicated that the proposed method could be used for real-time gait pattern detection, detect the gait patterns adaptively and obtain high reliabilities compared with the reference methods. MDPI 2018-11-03 /pmc/articles/PMC6263965/ /pubmed/30400335 http://dx.doi.org/10.3390/s18113764 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Yu, Fangli
Zheng, Jianbin
Yu, Lie
Zhang, Rui
He, Hailin
Zhu, Zhenbo
Zhang, Yuanpeng
Adjustable Method for Real-Time Gait Pattern Detection Based on Ground Reaction Forces Using Force Sensitive Resistors and Statistical Analysis of Constant False Alarm Rate
title Adjustable Method for Real-Time Gait Pattern Detection Based on Ground Reaction Forces Using Force Sensitive Resistors and Statistical Analysis of Constant False Alarm Rate
title_full Adjustable Method for Real-Time Gait Pattern Detection Based on Ground Reaction Forces Using Force Sensitive Resistors and Statistical Analysis of Constant False Alarm Rate
title_fullStr Adjustable Method for Real-Time Gait Pattern Detection Based on Ground Reaction Forces Using Force Sensitive Resistors and Statistical Analysis of Constant False Alarm Rate
title_full_unstemmed Adjustable Method for Real-Time Gait Pattern Detection Based on Ground Reaction Forces Using Force Sensitive Resistors and Statistical Analysis of Constant False Alarm Rate
title_short Adjustable Method for Real-Time Gait Pattern Detection Based on Ground Reaction Forces Using Force Sensitive Resistors and Statistical Analysis of Constant False Alarm Rate
title_sort adjustable method for real-time gait pattern detection based on ground reaction forces using force sensitive resistors and statistical analysis of constant false alarm rate
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6263965/
https://www.ncbi.nlm.nih.gov/pubmed/30400335
http://dx.doi.org/10.3390/s18113764
work_keys_str_mv AT yufangli adjustablemethodforrealtimegaitpatterndetectionbasedongroundreactionforcesusingforcesensitiveresistorsandstatisticalanalysisofconstantfalsealarmrate
AT zhengjianbin adjustablemethodforrealtimegaitpatterndetectionbasedongroundreactionforcesusingforcesensitiveresistorsandstatisticalanalysisofconstantfalsealarmrate
AT yulie adjustablemethodforrealtimegaitpatterndetectionbasedongroundreactionforcesusingforcesensitiveresistorsandstatisticalanalysisofconstantfalsealarmrate
AT zhangrui adjustablemethodforrealtimegaitpatterndetectionbasedongroundreactionforcesusingforcesensitiveresistorsandstatisticalanalysisofconstantfalsealarmrate
AT hehailin adjustablemethodforrealtimegaitpatterndetectionbasedongroundreactionforcesusingforcesensitiveresistorsandstatisticalanalysisofconstantfalsealarmrate
AT zhuzhenbo adjustablemethodforrealtimegaitpatterndetectionbasedongroundreactionforcesusingforcesensitiveresistorsandstatisticalanalysisofconstantfalsealarmrate
AT zhangyuanpeng adjustablemethodforrealtimegaitpatterndetectionbasedongroundreactionforcesusingforcesensitiveresistorsandstatisticalanalysisofconstantfalsealarmrate