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Extracting Muscle Geometrical Features With a Fabric-Based Wearable Sensor for Human Motion Intent Recognition 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: 1-11
作者:  Zheng EH(郑恩昊);  Jiacheng Wan;  Nanxing Hu;  Qining Wang
Adobe PDF(2867Kb)  |  收藏  |  浏览/下载：31/14  |  提交时间：2024/06/25
Sensors  Robot sensing systems  Muscles  Wearable sensors  Shape  Force  Feature extraction  Fabric-based sensors  human motion recognition  muscle features  wearable sensing  
Design and modeling of a bioinspired flexible finger exoskeleton for strength augmentation 期刊论文
IEEE/ASME Transactions on Mechatronics, 2024, 页码: 1-12
作者:  Li, Guotao;  Cheng, Long;  Zhang, Can
Adobe PDF(4765Kb)  |  收藏  |  浏览/下载：82/22  |  提交时间：2024/04/25
Flexible finger  kinematic model  stiffness  strength augmentation  wearable exoskeleton  
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：76/9  |  提交时间：2024/02/21
Bradykinesia grade  inertial sensors  Parkinson's disease (PD)  temporal convolutional network (TCN)  wearable device  
A Survey on Reinforcement Learning Methods in Bionic Underwater Robots 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 2, 页码: 29
作者:  Tong, Ru;  Feng, Yukai;  Wang, Jian;  Wu, Zhengxing;  Tan, Min;  Yu, Junzhi
Adobe PDF(1260Kb)  |  收藏  |  浏览/下载：146/19  |  提交时间：2023/11/17
bionic underwater robot  reinforcement learning  robotic fish  intelligent control  
Adaptive Locomotion Transition Recognition With Wearable Sensors for Lower Limb Robotic Prosthesis 期刊论文
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 页码: 11
作者:  Zheng, Enhao;  Wan, Jiacheng;  Gao, Siyuan;  Wang, Qining
Adobe PDF(2630Kb)  |  收藏  |  浏览/下载：95/8  |  提交时间：2023/11/17
Adaptive recognition model  interday and interuser  locomotion mode recognition  lower limb robotic prostheses  template generation  
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：130/21  |  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  
Joint Expression Synthesis and Representation Learning for Facial Expression Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 卷号: 32, 期号: 3, 页码: 1681-1695
作者:  Zhang, Xi;  Zhang, Feifei;  Xu, Changsheng
Adobe PDF(4827Kb)  |  收藏  |  浏览/下载：272/4  |  提交时间：2022/06/06
Face recognition  Task analysis  Generative adversarial networks  Image synthesis  Image recognition  Faces  Training  Facial expression recognition  facial image synthesis  generative adversarial network  representation learning  
Design and Locomotion Control of a Dactylopteridae-Inspired Biomimetic Underwater Vehicle With Hybrid Propulsion 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 13
作者:  Zhang, Tiandong;  Wang, Rui;  Wang, Yu;  Cheng, Long;  Wang, Shuo;  Tan, Min
Adobe PDF(4770Kb)  |  收藏  |  浏览/下载：299/53  |  提交时间：2022/01/27
Propulsion  DC motors  Robots  Control systems  Servomotors  Underwater vehicles  Sports  Biomimetic underwater vehicle (BUV)  body andor caudal fin (BCF)  median and or paired fin (MPF) hybrid propulsion  central pattern generators (CPGs)  fuzzy proportion integral differential (PID)  
Connecting Model-Based and Model-Free Control With Emotion Modulation in Learning Systems 期刊论文
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019, 卷号: 10, 期号: 4, 页码: 1-15
作者:  Huang, Xiao;  Wu, Wei;  Qiao, Hong
浏览  |  Adobe PDF(1614Kb)  |  收藏  |  浏览/下载：301/100  |  提交时间：2020/06/09
Brain-inspired computing  decision-making  emotion modulation  emotion-cognition interactions  reinforcement learning