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BiTCAN: A emotion recognition network based on saliency in brain 期刊论文
MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 卷号: 20, 期号: 12, 页码: 21537-21562
作者:  An, Yanling;  Hu, Shaohai;  Liu, Shuaiqi;  Li, Bing
收藏  |  浏览/下载：13/0  |  提交时间：2024/03/26
EEG  emotion recognition  spatio-temporal features  Bi-hemispheric discrepancy  spatial attention  attention mechanism  
A Graded Assessment System for Parkinsons Upper-Limb Bradykinesia Based on a Temporal Convolutional Network Model 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 23, 页码: 29283-29292
作者:  Tong, Lina;  Liu, Dai-Song;  Peng, Liang;  Hao, Hong-Lin;  Wang, Chen
Adobe PDF(9425Kb)  |  收藏  |  浏览/下载：38/0  |  提交时间：2024/02/21
Bradykinesia grade  inertial sensors  Parkinson's disease (PD)  temporal convolutional network (TCN)  wearable device  
A learnable EEG channel selection method for MI-BCI using efficient channel attention 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:  Tong, Lina;  Qian, Yihui;  Peng, Liang;  Wang, Chen;  Hou, Zeng-Guang
Adobe PDF(2021Kb)  |  收藏  |  浏览/下载：59/0  |  提交时间：2023/12/21
brain-computer interface  motor imagery  channel selection  deep learning  attention mechanism  
Investigating EEG-based cross-session and cross-task vigilance estimation in BCI systems 期刊论文
JOURNAL OF NEURAL ENGINEERING, 2023, 卷号: 20, 期号: 5, 页码: 15
作者:  Wang, Kangning;  Qiu, Shuang;  Wei, Wei;  Yi, Weibo;  He, Huiguang;  Xu, Minpeng;  Jung, Tzyy-Ping;  Ming, Dong
收藏  |  浏览/下载：145/0  |  提交时间：2023/11/17
brain-computer interface (BCI)  electroencephalogram (EEG)  vigilance estimation  
Emotional brain network decoded by biological spiking neural network 期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 17
作者:  Xu, Hubo;  Cao, Kexin;  Chen, Hongguang;  Abudusalamu, Awuti;  Wu, Wei;  Xue, Yanxue
收藏  |  浏览/下载：47/0  |  提交时间：2023/11/17
emotion  affective computing  brain network  neural oscillation  neuroregulation  self-backpropagation  spiking neural network  brain-computer interface  
A multi-source behavioral and physiological recording system for cognitive assessment 期刊论文
SCIENTIFIC REPORTS, 2023, 卷号: 13, 期号: 1, 页码: 12
作者:  Wang, Zi-yang;  Liu, Li;  Liu, Yu
收藏  |  浏览/下载：29/0  |  提交时间：2023/11/17
sEMG-Based Gesture Recognition Method for Coal Mine Inspection Manipulator Using Multistream CNN 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 10, 页码: 11082-11090
作者:  Tong, Lina;  Zhang, Mingjia;  Ma, Hanghang;  Wang, Chen;  Peng, Liang
Adobe PDF(2841Kb)  |  收藏  |  浏览/下载：80/0  |  提交时间：2023/11/17
Sensors  Muscles  Inspection  Coal mining  Robots  Feature extraction  Gesture recognition  Coal mine inspection manipulator  gestures recognition  multistream convolutional neural network (CNN)  surface electromyography (sEMG)  time--frequency graph feature  
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model 期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 2, 页码: 1391-1403
作者:  Zhao, Yuxuan;  Cao, Xinyan;  Lin, Jinlong;  Yu, Dunshan;  Cao, Xixin
收藏  |  浏览/下载：79/0  |  提交时间：2023/11/17
Physiology  Brain modeling  Feature extraction  Electroencephalography  Biological system modeling  Convolution  Reliability  Multimodal affective states recognition  convolutional neural network  decision fusion model  physiological signals  
A multimodal approach to estimating vigilance in SSVEP-based BCI 期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 225, 页码: 16
作者:  Wang, Kangning;  Qiu, Shuang;  Wei, Wei;  Zhang, Yukun;  Wang, Shengpei;  He, Huiguang;  Xu, Minpeng;  Jung, Tzyy-Ping;  Ming, Dong
收藏  |  浏览/下载：112/0  |  提交时间：2023/11/17
Vigilance estimation  Brain -computer interface (BCI)  Graph neural network  Electroencephalogram (EEG)  Steady-state visual evoked potential (SSVEP)  Multimodal fusion  
Recent advancements in multimodal human-robot interaction 期刊论文
FRONTIERS IN NEUROROBOTICS, 2023, 卷号: 17, 页码: 21
作者:  Su, Hang;  Qi, Wen;  Chen, Jiahao;  Yang, Chenguang;  Sandoval, Juan;  Laribi, Med Amine
收藏  |  浏览/下载：32/0  |  提交时间：2023/11/17
multi-modal signal processing  multi-modal feedback  multi-modal human-robot interaction  physical human-robot interaction  human-robot interaction