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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  
Personalized gait trajectory generation based on anthropometric features using Random Forest 期刊论文
Journal of Ambient Intelligence and Humanized Computing, 2019, 期号: 1, 页码: 1-12
作者:  Shixin Ren;  Weiqun Wang;  Zeng-Guang Hou;  Badong Chen;  Xu Liang;  Liang Peng
Adobe PDF(2042Kb)  |  收藏  |  浏览/下载：165/50  |  提交时间：2021/07/01
Personalized gait  Gait generation  Random Forest  Anthropometric features  Rehabilitation training  
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
Prediction of Human Voluntary Torques Based on Collaborative Neuromusculoskeletal Modeling and Adaptive Learning 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 6, 页码: 5217-5226
作者:  Wang, Weiqun;  Shi, Weiguo;  Hou, Zeng-Guang;  Chen, Badong;  Liang, Xu;  Ren, Shixin;  Wang, Jiaxing;  Peng, Liang
Adobe PDF(13331Kb)  |  收藏  |  浏览/下载：344/50  |  提交时间：2021/04/06
Muscles  Adaptation models  Adaptive learning  Force  Calibration  Hip  Electromyography  Adaptive learning  human–  robot interaction  neuromusculoskeletal modeling  parameter calibration  surface electromyography (sEMG) processing  
Anthropometric Features Based Gait Pattern Prediction Using Random Forest for Patient-Specific Gait Training 会议论文
Neural Information Processing, Siem Reap, Cambodia, December 13-16, 2018
作者:  Shixin Ren;  Weiqun Wang;  Zeng-Guang Hou;  Xu, Liang;  Jiaxing Wang;  Liang Peng
Adobe PDF(730Kb)  |  收藏  |  浏览/下载：98/27  |  提交时间：2020/10/29
Patient-specific gait, Anthropometric features, Random forest, Gait prediction  
SEMG and KNN Based Human Motion Intention Recognition for Active and Safe Neurorehabilitation 会议论文
, Sydney,Australia, 2019-12
作者:  Shi, Weiguo;  Wang, Weiqun;  Hou, Zeng-Guang;  Liang, Xu;  Ren, Shixin;  Wang, Jiaxing;  Peng, Liang
浏览  |  Adobe PDF(3639Kb)  |  收藏  |  浏览/下载：177/41  |  提交时间：2020/09/08
Position Based Impedance Control Strategy for a Lower Limb Rehabilitation Robot 会议论文
, 德国柏林, 2019.7
作者:  Liang, Xu;  Wang, Weiqun;  Hou,Zengguang;  Ren, Shixin;  Wang, Jiaxing;  Shi, Weiguo;  Peng, Liang;  Su, Tingting
浏览  |  Adobe PDF(1476Kb)  |  收藏  |  浏览/下载：261/108  |  提交时间：2020/07/10
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：312/49  |  提交时间：2020/06/22
Post-stroke hemiparesis  upper limb functional assessment  motor synergies  multi-modality fusion  motion capture technology  electromyography (EMG)