Novel Weft-Knitted Strain Sensors for Motion Capture

Author:

Fischer Susanne12,Abtahi Bahareh12,Warncke Mareen12ORCID,Böhmer Carola12,Winger Hans12,Sachse Carmen1,Mersch Johannes1ORCID,Häntzsche Eric1ORCID,Nocke Andreas12ORCID,Cherif Chokri12

Affiliation:

1. Institute for Textile Machinery and High Performance Material Technology (ITM), Faculty for Mechanical Science and Engineering, Technische Universität Dresden, 01062 Dresden, Germany

2. CeTI—Cluster of Excellence, Centre for Tactile Internet with Human-in-the-Loop, Technische Universität Dresden, 01062 Dresden, Germany

Abstract

Functional electrical stimulation (FES) aims to improve the gait pattern in cases of weak foot dorsiflexion (foot lifter weakness) and, therefore, increase the liveability of people suffering from chronic diseases of the central nervous system, e.g., multiple sclerosis. One important component of FES is the detection of the knee angle in order to enable the situational triggering of dorsiflexion in the right gait phase by electrical impulses. This paper presents an alternative approach to sensors for motion capture in the form of weft-knitted strain sensors. The use of textile-based strain sensors instead of conventional strain gauges offers the major advantage of direct integration during the knitting process and therefore a very discreet integration into garments. This in turn contributes to the fact that the FES system can be implemented in the form of functional leggings that are suitable for inconspicuous daily use without disturbing the wearer unnecessarily. Different designs of the weft-knitted strain sensor and the influence on its measurement behavior were investigated. The designs differed in terms of the integration direction of the sensor (wale- or course-wise) and the width of the sensor (number of loops) in a weft-knitted textile structure.

Funder

German Research Foundation

Federal Ministry for Economic Affairs and Climatic Action

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

Reference36 articles.

1. Smart Fabric Textiles: Recent Advances and Challenges;Neves;Textiles,2022

2. Smart textiles: A toolkit to fashion the future;Ruckdashel;J. Appl. Phys.,2021

3. Kan, C.-W., and Lam, Y.-L. (2021). Future Trend in Wearable Electronics in the Textile Industry. Appl. Sci., 11.

4. Beigl, M., Lukowicz, P., Blanke, U., Kunze, K., and Lee, S. (2016, January 12–16). A survey of the historical scope and current trends of wearable technology applications. Proceedings of the “Claire” (Hrsg.): UbiComp ′16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Heidelberg, Germany.

5. Smart fabric sensors and e-textile technologies: A review;Castano;Smart Mater. Struct.,2014

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3