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Toward a Fast and Robust MI-BCI: Online Adaptation of Stimulus Paradigm and Classification Model 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2024, 卷号: 73, 页码: 12
作者:  Wang, Jiaxing;  Wang, Weiqun;  Su, Jianqiang;  Wang, Yihan;  Hou, Zeng-Guang
Adobe PDF(1810Kb)  |  收藏  |  浏览/下载：81/12  |  提交时间：2024/05/30
Brain-computer interface (BCI)  classification model adaption  information transfer rate (ITR)  motor imagery (MI) duration  stimulus paradigm adjustment  
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：198/56  |  提交时间：2021/07/01
Personalized gait  Gait generation  Random Forest  Anthropometric features  Rehabilitation training  
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：186/61  |  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：392/63  |  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：112/40  |  提交时间：2020/10/29
Patient-specific gait, Anthropometric features, Random forest, Gait prediction  
Convolutional LSTM: A Deep Learning Method for Motion Intention Recognition based on Spatiotemporal EEG Data 会议论文
, Sydney, Australia, 2019-12-12
作者:  Zhijie Fang;  Weiqun Wang;  Zeng-Guang Hou
浏览  |  Adobe PDF(474Kb)  |  收藏  |  浏览/下载：353/117  |  提交时间：2019/11/07
Neuromuscular Activation Based SEMG-Torque Hybrid Modeling and Optimization for Robot Assisted Neurorehabilitation 会议论文
, Sydney, Australia, 2019-12-12
作者:  Weiqun Wang;  Zeng-Guang Hou;  Weiguo Shi;  Xu Liang;  Shixin Ren;  Jiaxin Wang;  Liang Peng
浏览  |  Adobe PDF(2091Kb)  |  收藏  |  浏览/下载：253/76  |  提交时间：2019/11/07
GPR and SPSO-CG based gait pattern generation for subject-specific training 期刊论文
SCIENCE CHINA Information Sciences, 2019, 卷号: 64, 期号: 00, 页码: 00
作者:  weiqun wang;  Weiguo SHI;  Shixin REN;  zeng-guang hou;  Xu LIANG;  Jiaxin WANG;  Liang PENG
浏览  |  Adobe PDF(142Kb)  |  收藏  |  浏览/下载：323/106  |  提交时间：2019/11/07
Gait Pattern Generation  Subject-specific Training  
Simultaneous Recognition and Assessment of Post-Stroke Hemiparetic Gait by Fusing Kinematic, Kinetic, and Electrophysiological Data 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2018, 卷号: 26, 期号: 4, 页码: 856-864
作者:  Cui, Chengkun;  Bian, Gui-Bin;  Hou, Zeng-Guang;  Zhao, Jun;  Su, Guodong;  Zhou, Hao;  Peng, Liang;  Wang, Weiqun
浏览  |  Adobe PDF(1281Kb)  |  收藏  |  浏览/下载：527/157  |  提交时间：2018/05/30
Post-stroke Hemiparesis  Gait Analysis  Multimodalfusion  Marker Trajectory (Mt)  Ground Reaction Force (Grf)  Electromyogram (Emg)  
BP-AR-BASED HUMAN JOINT ANGLE ESTIMATION USING MULTI-CHANNEL SEMG 期刊论文
INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION, 2015, 卷号: 30, 期号: 3, 页码: 227-237
作者:  Tong, Lina;  Zhang, Feng;  Hou, Zeng-Guang;  Wang, Weiqun;  Peng, Liang
浏览  |  Adobe PDF(1650Kb)  |  收藏  |  浏览/下载：465/120  |  提交时间：2015/10/13
Semg-joint Angle Estimation  Rehabilitation  Moving Butterworth Filtering Method  Bp Neural Network  Autoregressive (Ar) Model