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Hydrodynamics of a Flexible Flipper for an Underwater Vehicle-Manipulator System 期刊论文
IEEE/ASME Transactions on Mechatronics, 2021, 卷号: -, 期号: -, 页码: 1-11
作者:  Bai XJ(白雪剑);  Wang Y(王宇);  Wang R(王睿);  Wang S(王硕);  Tan M(谭民)
Adobe PDF(8510Kb)  |  收藏  |  浏览/下载：189/46  |  提交时间：2022/01/06
Biomimetic robot  flexible flipper  hydrodynamic model  underwater vehicle-manipulator system  
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：340/50  |  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  
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：298/64  |  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  
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)