CASIA OpenIR

浏览/检索结果: 共5条,第1-5条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
The Assessment of Upper-Limb Spasticity Based on a Multi-Layer Process Using a Portable Measurement System 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 卷号: 29, 页码: 2242-2251
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Zhang, Pu
Adobe PDF(1907Kb)  |  收藏  |  浏览/下载:180/17  |  提交时间:2021/12/28
Spasticity quantification  portable assessment device  modified genetic algorithm  ensemble empirical mode decomposition (EEMD)  multi-layer fusion  
A Novel Assist-As-Needed Controller Based on Fuzzy-Logic Inference and Human Impedance Identification for Upper-Limb Rehabilitation 会议论文
, Xiamen, China, 2019-12-8
作者:  Chen Wang;  Liang Peng;  Zeng-Guang Hou;  Weiqun Wang;  Tingting Su
Adobe PDF(610Kb)  |  收藏  |  浏览/下载:137/46  |  提交时间:2021/06/21
Quantitative Assessment of Upper-Limb Motor Function for Post-Stroke Rehabilitation Based on Motor Synergy Analysis and Multi-Modality Fusion 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 4, 页码: 943-952
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang;  Li, Jingyue;  Zhang, Tong;  Zhao, Jun
Adobe PDF(2148Kb)  |  收藏  |  浏览/下载:351/60  |  提交时间:2020/06/22
Post-stroke hemiparesis  upper limb functional assessment  motor synergies  multi-modality fusion  motion capture technology  electromyography (EMG)  
Deep Crisp Boundaries: From Boundaries to Higher-level Tasks 期刊论文
IEEE Transactions on Image Processing, 2019, 卷号: 28, 期号: 3, 页码: 1285-1298
作者:  Wang, Yupei;  Zhao, Xin;  Li, Yin;  Huang, Kaiqi
浏览  |  Adobe PDF(4781Kb)  |  收藏  |  浏览/下载:254/73  |  提交时间:2019/04/19
Boundary Detection, Deep Learning  
sEMG-based prediction of human lower extremity movements by using a dynamic recurrent neural network 会议论文
, Yinchuan, China, 2016-5
作者:  Cui, Chengkun;  Bian, Gui-Bin;  Hou, Zeng-Guang;  Xie, Xiao-Liang;  Peng, Liang;  Zhang, Dongxu
浏览  |  Adobe PDF(1159Kb)  |  收藏  |  浏览/下载:394/109  |  提交时间:2018/05/30
Semg  Motion Prediction  Dynamic Recurrent Neural Networks  Human-robot Interaction