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CASIA OpenIR
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Efficient Brain Decoding Based on Adaptive EEG Channel Selection and Transformation 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2022, 页码: 10
作者:  Wang, Jiaxing;  Shi, Lei;  Wang, Weiqun;  Hou, Zeng-Guang
收藏  |  浏览/下载：239/0  |  提交时间：2022/06/06
Electroencephalography  Decoding  Brain modeling  Computational modeling  Optimized production technology  Feature extraction  Data models  Channel selection  channel transformation  brain decoding  computational cost  classification accuracy  
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：186/53  |  提交时间：2021/07/01
Personalized gait  Gait generation  Random Forest  Anthropometric features  Rehabilitation training  
Toward Improving Engagement in Neural Rehabilitation: Attention Enhancement Based on Brain-Computer Interface and Audiovisual Feedback 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2020, 卷号: 12, 期号: 4, 页码: 787-796
作者:  Wang, Jiaxing;  Wang, Weiqun;  Hou, Zeng-Guang
Adobe PDF(2031Kb)  |  收藏  |  浏览/下载：335/72  |  提交时间：2021/03/02
Avatars  Electroencephalography  Training  Games  Real-time systems  Task analysis  Stroke (medical condition)  Attention enhancement  brain–  computer interface (BCI)  electroencephalogram (EEG)  neural rehabilitation  virtual reality  
Engagement Enhancement Based on Human-in-the-Loop Optimization for Neural Rehabilitation 期刊论文
FRONTIERS IN NEUROROBOTICS, 2020, 卷号: 12, 期号: 无, 页码: 11
作者:  Wang, Jiaxing;  Wang, Weiqun;  Ren, Shixin;  Shi, Weiguo;  Hou, Zeng-Guang
Adobe PDF(2370Kb)  |  收藏  |  浏览/下载：337/77  |  提交时间：2021/01/06
human-in-the-loop optimization  EEG based neural engagement  sEMG based muscle activation  tracking accuracy  neural rehabilitation  
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：106/34  |  提交时间：2020/10/29
Patient-specific gait, Anthropometric features, Random forest, Gait prediction  
Enhanced Motor Imagery Based Brain- Computer Interface via FES and VR for Lower Limbs 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2020, 卷号: 28, 期号: 8, 页码: 1846-1855
作者:  Ren, Shixin;  Wang, Weiqun;  Hou, Zeng-Guang;  Liang, Xu;  Wang, Jiaxing;  Shi, Weiguo
Adobe PDF(1893Kb)  |  收藏  |  浏览/下载：326/56  |  提交时间：2020/09/07
Brain computer interface  functional electrical stimulation (FES)  virtual reality  enhanced motor imagery  rehabilitation training  
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：346/114  |  提交时间：2019/11/07
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：513/153  |  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：455/117  |  提交时间：2015/10/13
Semg-joint Angle Estimation  Rehabilitation  Moving Butterworth Filtering Method  Bp Neural Network  Autoregressive (Ar) Model