CASIA OpenIR

浏览/检索结果: 共6条,第1-6条 帮助

限定条件                    
已选(0)清除 条数/页:   排序方式:
Adaptive flocking of multi-agent system with uncertain nonlinear dynamics and unknown disturbances using neural networks 会议论文
, Online, August 20-21
作者:  Shiguang Wu;  Zhiqiang Pu;  Jianqiang Yi;  Jinlin Su;  Tianyi Xiong;  Tenghai Qiu
Adobe PDF(2014Kb)  |  收藏  |  浏览/下载:159/54  |  提交时间:2022/04/06
Learning Regional Attention Convolutional Neural Network for Motion Intention Recognition Based on EEG Data 会议论文
, online in a virtual reality, January 7-15, 2021
作者:  Zhijie Fang;  Weiqun Wang;  Shixin Ren;  Jiaxing Wang;  Weiguo Shi;  Xu Liang;  Chen-Chen Fan;  Zengguang Hou
Adobe PDF(1549Kb)  |  收藏  |  浏览/下载:200/51  |  提交时间:2021/06/16
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  
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:298/69  |  提交时间:2021/01/06
human-in-the-loop optimization  EEG based neural engagement  sEMG based muscle activation  tracking accuracy  neural rehabilitation  
Skeleton-Based Action Recognition With Multi-Stream Adaptive Graph Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 期号: 29, 页码: 9532-9545
作者:  Shi, Lei;  Zhang, Yifan;  Cheng, Jian;  Lu, Hanqing
浏览  |  Adobe PDF(2849Kb)  |  收藏  |  浏览/下载:377/148  |  提交时间:2020/11/05
Skeleton-based action recognition, graph convolutional network, adaptive graph, multi-stream network.  
Controlling the depth of a gliding robotic dolphin using dual motion control modes 期刊论文
SCIENCE CHINA-INFORMATION SCIENCES, 2020, 卷号: 63, 期号: 9, 页码: 14
作者:  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(847Kb)  |  收藏  |  浏览/下载:283/46  |  提交时间:2020/09/07
gliding robotic dolphin  depth control  dual motion  adaptive control approach