A Novel Motion Intention Recognition Approach for Soft Exoskeleton via IMU

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Zhu, Lu;Wang, Zhuo;Ning, Zhigang;Zhang, Yu;Liu, Yida;...

通讯作者：

Chen, Chunjie

作者机构：

[Ning, Zhigang; Zhu, Lu] Univ South China, Coll Elect Engn, Hengyang 421001, Peoples R China.

[Chen, Chunjie; Cao, Wujing; Wang, Zhuo; Zhang, Yu; Wu, Xinyu; Zhu, Lu; Liu, Yida] Shenzhen Inst Adv Technol, CAS Key Lab Human Machine Intelligence Synerg Sys, Shenzhen 518055, Peoples R China.

[Chen, Chunjie; Cao, Wujing; Wang, Zhuo; Zhang, Yu; Wu, Xinyu; Zhu, Lu; Liu, Yida] Chinese Acad Sci, Shenzhen Inst Adv Technol, Guangdong Prov Key Lab Robot & Intelligent Syst, Shenzhen 518055, Peoples R China.

[Wang, Zhuo; Zhang, Yu] Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Peoples R China.

[Chen, Chunjie; Cao, Wujing; Wu, Xinyu; Liu, Yida] Univ Chinese Acad Sci, Shenzhen Coll Adv Technol, Shenzhen 518055, Peoples R China.

通讯机构：

[Chen, Chunjie] S

[Chen, Chunjie] C

[Chen, Chunjie] U

Shenzhen Inst Adv Technol, CAS Key Lab Human Machine Intelligence Synerg Sys, Shenzhen 518055, Peoples R China.

Chinese Acad Sci, Shenzhen Inst Adv Technol, Guangdong Prov Key Lab Robot & Intelligent Syst, Shenzhen 518055, Peoples R China.

语种：

英文

关键词：

motion intention recognition;neural network;soft exoskeleton;soft lower extremity exoskeleton;IMU

期刊：

Electronics

ISSN：

2079-9292

年：

2020

卷：

期：

DOI：

10.3390/electronics9122176

基金类别：

Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [U1913207]; Natural Science Foundation of Guangdong Province, ChinaNational Natural Science Foundation of Guangdong Province [2019A1515010782]; Science Technology and Innovation Committee of ShenzhenMunicipality (SZSTI) Fundamental Research Project [JCYJ20180302145539583]; Shenzhen Technology Research Project [JSGG20180507182901552]; Guangdong Basic and Applied Basic Research Foundation [2019A1515110576]; Shandong Province Science and Technology Projects [2018CXGC0909]; Jinan Science and Technology Project [2019GXRC048]

机构署名：

本校为第一机构

院系归属：

电气工程学院

摘要：

To solve the complexity of the traditional motion intention recognition method using a multi-mode sensor signal and the lag of the recognition process, in this paper, an inertial sensor-based motion intention recognition method for a soft exoskeleton is proposed. Compared with traditional motion recognition, in addition to the classic five kinds of terrain, the recognition of transformed terrain is also added. In the mode acquisition, the sensors' data in the thigh and calf in different motion modes are collected. After a series of data preprocessing, such as data filtering and normalization, ...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

A Novel Motion Intention Recognition Approach for Soft Exoskeleton via IMU

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问