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基于Myo旋转偏移估计与自适应校正的手势识别方法 期刊论文
自动化学报, 2019, 页码: 1-11
Authors:  李自由;  王丰焱;  赵新刚;  丁其川;  张道辉;  韩建达
View  |  Adobe PDF(1685Kb)  |  Favorite  |  View/Download:145/29  |  Submit date:2019/07/14
表面肌电信号  电极偏移  自适应校正  模式识别  
Adaptive Hybrid Classifier for Myoelectric Pattern Recognition Against the Interferences of Outlier Motion, Muscle Fatigue, and Electrode Doffing 期刊论文
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2019, 卷号: 27, 期号: 5, 页码: 1071-1080
Authors:  Ding QC(丁其川);  Zhao XG(赵新刚);  Han JD(韩建达);  Bu CG(卜春光);  Wu CD(吴成东)
View  |  Adobe PDF(2259Kb)  |  Favorite  |  View/Download:123/27  |  Submit date:2019/06/18
Surface electromyography (sEMG)  myoelectric prosthesis  adaptive classifier  online update  
基于自更新混合分类模型的肌电运动识别方法 期刊论文
自动化学报, 2019, 卷号: 45, 期号: 8, 页码: 1464-1474
Authors:  丁其川;  赵新刚;  李自由;  韩建达
View  |  Adobe PDF(2199Kb)  |  Favorite  |  View/Download:265/45  |  Submit date:2018/03/25
表面肌电  动作识别  模式分类  在线更新  肌肉疲劳  
A Decoding Scheme for Incomplete Motor Imagery EEG With Deep Belief Network 期刊论文
FRONTIERS IN NEUROSCIENCE, 2018, 卷号: 12, 页码: 1-17
Authors:  Chu YQ(褚亚奇);  Zhao XG(赵新刚);  Zou YJ(邹宜君);  Xu WL(徐卫良);  Han JD(韩建达);  Zhao YW(赵忆文)
View  |  Adobe PDF(3629Kb)  |  Favorite  |  View/Download:127/28  |  Submit date:2018/10/22
brain-computer interface  decoding scheme  incomplete motor imagery EEG  power spectral density  deep belief network  
An incremental EMG classification model to detect and recognize randomly-occurred outlier motion 会议论文
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, Macau, China, December 5-8, 2017
Authors:  Ding QC(丁其川);  Zhao XG(赵新刚);  Li ZY(李自由);  Han JD(韩建达)
View  |  Adobe PDF(1091Kb)  |  Favorite  |  View/Download:57/15  |  Submit date:2018/07/30
—surface Electromyography (sEMG)  incremental classifier  online update  motion recognition  
基于单通道sEMG分解的手部动作识别方法 期刊论文
机械工程学报, 2016, 卷号: 52, 期号: 7, 页码: 6-13
Authors:  熊安斌;  丁其川;  赵新刚;  韩建达;  刘光军
View  |  Adobe PDF(918Kb)  |  Favorite  |  View/Download:478/78  |  Submit date:2016/01/10
表面肌电信号  运动单元动作电位序列  分层聚类  主元分析支持向量机  
基于肌电信号容错分类的手部动作识别 期刊论文
机器人, 2015, 卷号: 37, 期号: 1, 页码: 9-16
Authors:  丁其川;  赵新刚;  韩建达
View  |  Adobe PDF(908Kb)  |  Favorite  |  View/Download:274/72  |  Submit date:2015/07/05
肌电信号  数据丢失  动作分类  人机交互  
Missing-Data Classification with the Extended Full-Dimensional Gaussian Mixture Model: Applications to EMG-Based Motion Recognition 期刊论文
IEEE Transactions on Industrial Electronics, 2015, 卷号: 62, 期号: 8, 页码: 4994-5005
Authors:  Ding QC(丁其川);  Han JD(韩建达);  Zhao XG(赵新刚);  Chen Y(陈洋)
View  |  Adobe PDF(1503Kb)  |  Favorite  |  View/Download:316/84  |  Submit date:2015/07/19
Classification  Electromyography (Emg)  Gaussian Mixture Model (Gmm)  Missing Data  Myoelectric Hand  
An user-independent gesture recognition method based on sEMG decomposition 会议论文
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, September 28 - October 2, 2015
Authors:  Xiong AB(熊安斌);  Zhao XG(赵新刚);  Han JD(韩建达);  Liu GJ(刘光军);  Ding QC(丁其川)
View  |  Adobe PDF(1169Kb)  |  Favorite  |  View/Download:195/54  |  Submit date:2015/12/20
Classification of Gesture based on sEMG Decomposition: A Preliminary Study 会议论文
The 19th World Congress of the International Federation of Automatic Control, Cape Town, South Africa, August 24-29, 2014
Authors:  Xiong AB(熊安斌);  Zhang DH(张道辉);  Zhao XG(赵新刚);  Han JD(韩建达);  Liu GJ(刘光军)
View  |  Adobe PDF(367Kb)  |  Favorite  |  View/Download:321/49  |  Submit date:2014/12/29
Semg  Pattern Recognition  Semg Decomposition  Gaussian Mixture Model  Linear Discriminate Analysis