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CASIA OpenIR
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sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 10, 页码: 11082-11090
作者:  Tong, Lina;  Zhang, Mingjia;  Ma, Hanghang;  Wang, Chen;  Peng, Liang
收藏  |  浏览/下载：75/0  |  提交时间：2023/11/17
Sensors  Muscles  Inspection  Coal mining  Robots  Feature extraction  Gesture recognition  Coal mine inspection manipulator  gestures recognition  multistream convolutional neural network (CNN)  surface electromyography (sEMG)  time--frequency graph feature  
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
收藏  |  浏览/下载：127/0  |  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：115/36  |  提交时间：2021/06/21
sEMG-based torque estimation using time-delay ANN for control of an upper-limb rehabilitation robot 会议论文
, Shenzhen, China, 2018-10-25
作者:  Chen Wang;  Liang Peng;  Zeng-Guang Hou;  Lincong Luo;  Sheng Chen;  Weiqun Wang
Adobe PDF(3570Kb)  |  收藏  |  浏览/下载：144/50  |  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：310/49  |  提交时间：2020/06/22
Post-stroke hemiparesis  upper limb functional assessment  motor synergies  multi-modality fusion  motion capture technology  electromyography (EMG)