Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb Exoskeleton

Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb Exoskeleton

Because the target users of the assistive-type lower extremity exoskeletons (ASLEEs) are those who suffer from lower limb disabilities, customized gait is adopted for the control of ASLEEs. However, the customized gait is unable to provide stable motion for variable terrain, for example, flat, uphil...

Full description

Bibliographic Details
Main Authors: Chunfeng Yue, Xichuan Lin, Ximing Zhang, Jing Qiu, Hong Cheng
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Applied Bionics and Biomechanics
Online Access:http://dx.doi.org/10.1155/2018/8610458
id doaj-c0d5cdb0debc4725b3c3b855983312de
record_format Article
spelling doaj-c0d5cdb0debc4725b3c3b855983312de2021-07-02T13:59:04ZengHindawi LimitedApplied Bionics and Biomechanics1176-23221754-21032018-01-01201810.1155/2018/86104588610458Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb ExoskeletonChunfeng Yue0Xichuan Lin1Ximing Zhang2Jing Qiu3Hong Cheng4The School of Automation Engineering, University of Electronic Science and Technology of China, ChinaThe School of Automation Engineering, University of Electronic Science and Technology of China, ChinaThe School of Automation Engineering, University of Electronic Science and Technology of China, ChinaThe School of Automation Engineering, University of Electronic Science and Technology of China, ChinaThe School of Automation Engineering, University of Electronic Science and Technology of China, ChinaBecause the target users of the assistive-type lower extremity exoskeletons (ASLEEs) are those who suffer from lower limb disabilities, customized gait is adopted for the control of ASLEEs. However, the customized gait is unable to provide stable motion for variable terrain, for example, flat, uphill, downhill, and soft ground. The purpose of this paper is to realize gait detection and environment feature recognition for AIDER by developing a novel wearable sensing system. The wearable sensing system employs 7 force sensors as a sensing matrix to achieve high accuracy of ground reaction force detection. There is one more IMU sensor that is integrated into the structure to detect the angular velocity. By fusing force and angular velocity data, four typical terrain features can be recognized successfully, and the recognition rate can reach up to 93%.http://dx.doi.org/10.1155/2018/8610458
collection DOAJ
language English
format Article
sources DOAJ
author Chunfeng Yue
Xichuan Lin
Ximing Zhang
Jing Qiu
Hong Cheng
spellingShingle Chunfeng Yue
Xichuan Lin
Ximing Zhang
Jing Qiu
Hong Cheng
Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb Exoskeleton
Applied Bionics and Biomechanics
author_facet Chunfeng Yue
Xichuan Lin
Ximing Zhang
Jing Qiu
Hong Cheng
author_sort Chunfeng Yue
title Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb Exoskeleton
title_short Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb Exoskeleton
title_full Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb Exoskeleton
title_fullStr Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb Exoskeleton
title_full_unstemmed Design and Performance Evaluation of a Wearable Sensing System for Lower-Limb Exoskeleton
title_sort design and performance evaluation of a wearable sensing system for lower-limb exoskeleton
publisher Hindawi Limited
series Applied Bionics and Biomechanics
issn 1176-2322
1754-2103
publishDate 2018-01-01
description Because the target users of the assistive-type lower extremity exoskeletons (ASLEEs) are those who suffer from lower limb disabilities, customized gait is adopted for the control of ASLEEs. However, the customized gait is unable to provide stable motion for variable terrain, for example, flat, uphill, downhill, and soft ground. The purpose of this paper is to realize gait detection and environment feature recognition for AIDER by developing a novel wearable sensing system. The wearable sensing system employs 7 force sensors as a sensing matrix to achieve high accuracy of ground reaction force detection. There is one more IMU sensor that is integrated into the structure to detect the angular velocity. By fusing force and angular velocity data, four typical terrain features can be recognized successfully, and the recognition rate can reach up to 93%.
url http://dx.doi.org/10.1155/2018/8610458
work_keys_str_mv AT chunfengyue designandperformanceevaluationofawearablesensingsystemforlowerlimbexoskeleton
AT xichuanlin designandperformanceevaluationofawearablesensingsystemforlowerlimbexoskeleton
AT ximingzhang designandperformanceevaluationofawearablesensingsystemforlowerlimbexoskeleton
AT jingqiu designandperformanceevaluationofawearablesensingsystemforlowerlimbexoskeleton
AT hongcheng designandperformanceevaluationofawearablesensingsystemforlowerlimbexoskeleton
_version_ 1721328447970607104

Similar Items