三种外骨骼传感器的分析与改进

2022 International Communication Engineering and Cloud Computing Conference (CECCC) Pub Date : 2022-10-28 DOI:10.1109/CECCC56460.2022.10069045

Yi-Lu Pan

{"title":"三种外骨骼传感器的分析与改进","authors":"Yi-Lu Pan","doi":"10.1109/CECCC56460.2022.10069045","DOIUrl":null,"url":null,"abstract":"This paper introduces the electromechanically actuated lower-limb exoskeletons and analyses the limitations of existing inertial measurement units and force sensors through regression models. It establishes a gait model using BP neural network based on fibre-woven strain sensors made by metallogels. In addition, sEMG will also be introduced to improve the whole system.","PeriodicalId":155272,"journal":{"name":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analysis and Improvement of Three Kinds of Exoskeleton Sensors\",\"authors\":\"Yi-Lu Pan\",\"doi\":\"10.1109/CECCC56460.2022.10069045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces the electromechanically actuated lower-limb exoskeletons and analyses the limitations of existing inertial measurement units and force sensors through regression models. It establishes a gait model using BP neural network based on fibre-woven strain sensors made by metallogels. In addition, sEMG will also be introduced to improve the whole system.\",\"PeriodicalId\":155272,\"journal\":{\"name\":\"2022 International Communication Engineering and Cloud Computing Conference (CECCC)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Communication Engineering and Cloud Computing Conference (CECCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CECCC56460.2022.10069045\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Communication Engineering and Cloud Computing Conference (CECCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CECCC56460.2022.10069045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

介绍了机电驱动的下肢外骨骼，并通过回归模型分析了现有惯性测量单元和力传感器的局限性。利用BP神经网络建立了基于金属纤维编织应变传感器的步态模型。此外，还将引入表面肌电来完善整个系统。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Analysis and Improvement of Three Kinds of Exoskeleton Sensors

This paper introduces the electromechanically actuated lower-limb exoskeletons and analyses the limitations of existing inertial measurement units and force sensors through regression models. It establishes a gait model using BP neural network based on fibre-woven strain sensors made by metallogels. In addition, sEMG will also be introduced to improve the whole system.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2022 International Communication Engineering and Cloud Computing Conference (CECCC)

自引率

0.00%

发文量