CASIA OpenIR
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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:75/10  |  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  
Multicontact Intrinsic Force Sensing Method of a Flexible Finger for Hand Assistance 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2024, 卷号: 73, 页码: 1-12
作者:  Li, Guotao;  Zhang, Can;  Su, Can;  Liu, Zhijie;  Liang, Xu;  Cheng, Long;  Zeng-Guang Hou
Adobe PDF(14048Kb)  |  收藏  |  浏览/下载:72/20  |  提交时间:2024/04/25
Force  Sensors  Robot sensing systems  Exoskeletons  Springs  Robots  Friction  Flexible finger  force sensing  multipoint contact  static model  
Robot-Assisted Trans-Esophageal Ultrasound and the Virtual Admittance-Based Master-Slave Control Method Thereof 期刊论文
IEEE/ASME Transactions on Mechatronics, 2023, 页码: 在线发表
作者:  Xie Yiping(谢亿平);  Guo Jun(郭君);  Deng Zhaokun(邓兆锟);  Hou Xilong(侯西龙);  Housden James;  Rhode Kawal;  Liu Hongbin(刘宏斌);  Hou Zeng-Guang(侯增广);  Wang Shuangyi(王双翌)
Adobe PDF(2038Kb)  |  收藏  |  浏览/下载:301/83  |  提交时间:2023/05/31
Practical Predefined-Time Output-Feedback Consensus Tracking Control for Multiagent Systems 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 12
作者:  Zou, An-Min;  Liu, Yangyang;  Hou, Zeng-Guang;  Hu, Zhipei
收藏  |  浏览/下载:302/0  |  提交时间:2022/11/14
Consensus control  Observers  Sliding mode control  Numerical stability  Multi-agent systems  Topology  Stability criteria  Consensus control  multiagent systems (MASs)  practical predefined-time (PPT) stability  sliding-mode control  
A Control Framework for Adaptation of Training Task and Robotic Assistance for Promoting Motor Learning With an Upper Limb Rehabilitation Robot 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 52, 期号: 12, 页码: 7737-7747
作者:  Wang, Chen;  Peng, Liang;  Hou, Zeng-Guang
Adobe PDF(2528Kb)  |  收藏  |  浏览/下载:246/16  |  提交时间:2022/06/10
Robots  Trajectory  Task analysis  Training  Oscillators  Rehabilitation robotics  Real-time systems  Assist as needed (AAN)  motor learning  nonlinear adaptive control  rehabilitation robotics  
Novel sliding-mode disturbance observer-based tracking control with applications to robot manipulators 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2021, 卷号: 64, 期号: 7, 页码: 12
作者:  Sun, Tairen;  Cheng, Long;  Hou, Zengguang;  Tan, Min
收藏  |  浏览/下载:254/0  |  提交时间:2021/08/15
adaptive control  robot manipulator  disturbance observer  sliding mode  
Brain functional connectivity analysis and crucial channel selection using channel-wise CNN 会议论文
, Siem Reap, Cambodia, 2018
作者:  Wang, Jiaxing;  Wang, Weiqun;  Hou, Zengguang;  Liang, Xu;  Ren, Shixin;  Peng, Liang
Adobe PDF(1261Kb)  |  收藏  |  浏览/下载:116/33  |  提交时间:2021/06/01
Towards enhancement of patients’ engagement: online modification of rehabilitation training modes using facial expression and muscle fatigue 会议论文
, Hawaii, USA, 2018-7
作者:  Wang, Jiaxing;  Wang, Weiqun;  Hou, Zengguang;  Liang, Xu;  Ren, Shixin;  Peng, Liang
Adobe PDF(1253Kb)  |  收藏  |  浏览/下载:119/27  |  提交时间:2021/06/01
Development and Evaluation of a 7-DOF Haptic Interface 期刊论文
IEEE/CAA JOURNAL OF AUTOMATICA SINICA, 2018, 卷号: 5, 期号: 1, 页码: 261-269
作者:  Jianlong,Hao;  Xiaoliang,Xie;  Guibin,Bian;  Zengguang,Hou;  Xiaohu,Zhou
浏览  |  Adobe PDF(3695Kb)  |  收藏  |  浏览/下载:243/69  |  提交时间:2020/11/05
Dynamic modeling  evaluation  haptic interface  impedance control  
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:339/60  |  提交时间:2020/09/07
Brain computer interface  functional electrical stimulation (FES)  virtual reality  enhanced motor imagery  rehabilitation training