脑机接口 / BCI - arXivDaily 专题

2409.00130 2024-09-04 eess.SP cs.AI cs.LG 88%

Mirror contrastive loss based sliding window transformer for subject-independent motor imagery based EEG signal recognition

Jing Luo, Qi Mao, Weiwei Shi, Zhenghao Shi, Xiaofan Wang, Xiaofeng Lu, Xinhong Hei

专题命中运动想象：EEG(title,abstract)；motor imagery(title,abstract)；分类 eess.SP、cs.LG

Comments This paper has been accepted by the Fourth International Workshop on Human Brain and Artificial Intelligence, joint workshop of the 33rd International Joint Conference on Artificial Intelligence, Jeju Island, South Korea, from August 3rd to August 9th, 2024

2403.15438 2024-03-26 eess.SP cs.LG 88%

Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding

Yassine El Ouahidi, Giulia Lioi, Nicolas Farrugia, Bastien Pasdeloup, Vincent Gripon

专题命中运动想象：motor imagery(title,abstract)；BCI(title)；brain-computer interface(abstract)；分类 eess.SP、cs.LG

2105.07917 2022-04-11 cs.LG cs.CV cs.HC cs.NE eess.SP 88%

CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet

Alberto Zancanaro, Giulia Cisotto, João Ruivo Paulo, Gabriel Pires, Urbano J. Nunes

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Journal ref 2021 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)

2005.00777 2021-12-03 eess.SP cs.CV cs.HC cs.LG 88%

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition

Yimin Hou, Shuyue Jia, Xiangmin Lun, Shu Zhang, Tao Chen, Fang Wang, Jinglei Lv

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

2002.01122 2020-02-05 cs.HC cs.LG eess.SP 88%

Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining

Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

2411.09709 2024-11-18 eess.SP cs.AI cs.LG 88%

Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals

Hyeon-Taek Han, Dae-Hyeok Lee, Heon-Gyu Kwak

专题命中运动想象：EEG(title,abstract)；brain-computer interface(abstract,comments)；BCI(abstract)；motor imagery(abstract)

Comments 4 pages, 2 figures, 1 table, Name of Conference: International Conference on Brain-Computer Interface

2602.04299 2026-02-05 cs.HC 88%

A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery

用于单侧肢体运动想象的多模态fNIRS-EEG数据集

Lufeng Feng, Baomin Xu, Haoran Zhang, Bihai Lin, Zuxuan Deng, Sidi Tao, Chenyu Liu, Shifan Jia, Li Duan, Ziyu Jia

专题命中运动想象：EEG(title,abstract)；motor imagery(title,abstract)；分类 cs.HC

AI总结本文提出MIND数据集，用于单侧肢体多方向运动想象，通过融合fNIRS和EEG数据提升BCI分类性能。

Comments 17 pages, 12 figures

2203.14592 2024-09-20 eess.SP 88%

MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection

Xiaying Wang, Michael Hersche, Michele Magno, Luca Benini

专题命中运动想象：EEG(title,abstract)；motor imagery(title,abstract)；分类 eess.SP

2110.10939 2021-10-22 cs.LG cs.AI 88%

A channel attention based MLP-Mixer network for motor imagery decoding with EEG

Yanbin He, Zhiyang Lu, Jun Wang, Jun Shi

专题命中运动想象：EEG(title,abstract)；motor imagery(title,abstract)；分类 cs.LG

2502.17482 2025-08-01 eess.SP cs.LG 88%

MVCNet: Multi-View Contrastive Network for Motor Imagery Classification

Ziwei Wang, Siyang Li, Xiaoqing Chen, Dongrui Wu

机构 * Ministry of Education Key Laboratory of Image Processing and Intelligent Control, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology（教育部图像处理与智能控制重点实验室，人工智能与自动化学院，华中科技大学）； Shenzhen Huazhong University of Science and Technology Research Institute（深圳华中科技大学研究院）

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Comments 12 pages, 9 figures

2104.01233 2024-10-28 cs.OH cs.AI cs.LG eess.SP 88%

FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface

Ravikiran Mane, Effie Chew, Karen Chua, Kai Keng Ang, Neethu Robinson, A. P. Vinod, Seong-Whan Lee, Cuntai Guan

专题命中运动想象：brain-computer interface(title,abstract)；BCI(abstract)；EEG(abstract)；motor imagery(abstract)

Comments This work has been submitted to the IEEE for possible publication

2312.05828 2023-12-12 cs.LG eess.SP 88%

Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution

Hye-Bin Shin, Kang Yin, Seong-Whan Lee

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；neural signal(abstract)

2310.19202 2023-10-31 q-bio.QM cs.LG eess.SP 88%

Improved Motor Imagery Classification Using Adaptive Spatial Filters Based on Particle Swarm Optimization Algorithm

Xiong Xiong, Ying Wang, Tianyuan Song, Jinguo Huang, Guixia Kang

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Comments 25 pages, 8 figures

2308.11636 2023-08-24 eess.SP cs.AI cs.DC cs.LG cs.NE 88%

Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning

Rui Liu, Yuanyuan Chen, Anran Li, Yi Ding, Han Yu, Cuntai Guan

专题命中运动想象：BCI(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；motor imagery(abstract)

2211.10033 2022-11-21 cs.CR cs.LG eess.SP 88%

Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events

Bibek Upadhayay, Vahid Behzadan

专题命中运动想象：brain-computer interface(title)；BCI(abstract)；brain computer interface(abstract)；EEG(abstract)

2010.10359 2020-10-21 eess.SP cs.AI cs.LG cs.NE 88%

Performance of Dual-Augmented Lagrangian Method and Common Spatial Patterns applied in classification of Motor-Imagery BCI

Aleksandar Miladinović, Miloš Ajčević, Agostino Accardo

专题命中运动想象：BCI(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；motor imagery(abstract)

Journal ref GNB2020, June 10th-12th 2020, Trieste, Italy

2002.00210 2020-02-05 eess.SP cs.LG 88%

Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network

Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Seong-Whan Lee

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Comments Pre-review version, accepted at ICASSP 2020

1609.09578 2016-10-03 cs.HC q-bio.NC 88%

Optimized motor imagery paradigm based on imagining Chinese characters writing movement

Zhaoyang Qiu, Brendan Z. Allison, Jing Jin, Yu Zhang, Xingyu Wang, Wei Li, Andrzej Cichocki

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

1410.4122 2014-10-16 physics.med-ph cs.HC q-bio.NC 88%

Analysis of EEG signal by Flicker Noise Spectroscopy: Identification of right/left hand movement imagination

Anna Broniec

专题命中运动想象：EEG(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；motor imagery(abstract)

Comments 16 pages, 10 figures

2406.16909 2024-06-26 eess.SP cs.AI cs.HC cs.LG math.DG nlin.CD 88%

Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric

Igor Carrara, Theodore Papadopoulo

专题命中运动想象：motor imagery(title,abstract)；BCI(title)；分类 eess.SP、cs.LG、cs.HC

2603.10563 2026-03-12 cs.LG 87%

Riemannian Geometry-Preserving Variational Autoencoder for MI-BCI Data Augmentation

保黎曼几何的变分自编码器用于运动想象脑机接口数据增强

Viktorija Poļaka, Ivo Pascal de Jong, Andreea Ioana Sburlea

专题命中运动想象：BCI(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；motor imagery(abstract)

AI总结本文提出保黎曼几何的变分自编码器，用于生成具有对称正定性质的EEG协方差矩阵，以提升MI-BCI的数据增强效果。

Comments 6 pages, 4 figures, 2 tables

2504.13220 2025-10-01 cs.CV cs.LG 87%

SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification

Ummay Maria Muna, Md. Mehedi Hasan Shawon, Md Jobayer, Sumaiya Akter, Saifur Rahman Sabuj

机构 * Department of Electrical and Electronic Engineering, BRAC University（电子与电气工程系，布拉克大学）； Department of Electrical and Computer Engineering, University of Maryland College Park（电气与计算机工程系，马里兰大学学院公园分校）

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Comments 11 pages

Journal ref IEEE Access 13 (2025) 158855 - 158869

2509.05943 2025-09-09 cs.HC 87%

DRDCAE-STGNN: An End-to-End Discrimina-tive Autoencoder with Spatio-Temporal Graph Learning for Motor Imagery Classification

Yi Wang, Haodong Zhang, Hongqi Li

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Comments Submit to IEEE Journal

2508.21724 2025-09-01 eess.SP cs.SY eess.SY 87%

A Single Subject Machine Learning Based Classification of Motor Imagery EEGs

Dario Sanalitro, Marco Finocchiaro, Pasquale Memmolo, Emanuela Cutuli, Maide Bucolo

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Comments Conference Paper

2412.09015 2024-12-13 cs.HC 87%

Front-end Replication Dynamic Window (FRDW) for Online Motor Imagery Classification

X. Chen, J. An, H. Wu, S. Li, B. Liu, D. Wu

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

Journal ref IEEE Trans. on Neural Systems and Rehabilitation Engineering, 31:3906-3914, 2023

2411.18916 2024-12-02 q-bio.NC 87%

Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation

John S. Russo, Thomas A. Shiels, Chin-Hsuan Sophie Lin, Sam E. John, David B. Grayden

专题命中运动想象：brain-computer interface(title,abstract)；BCI(abstract)；EEG(abstract)；motor imagery(abstract)

Comments Word count (main text): 5964 Word count (abstract): 299 Page Count: 21 Number of figures: 6 + 1 table, 3 supplementary

2309.03209 2023-09-08 cs.HC cs.AI 87%

A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training

Hanwen Wang, Yu Qi, Lin Yao, Yueming Wang, Dario Farina, Gang Pan

专题命中运动想象：BCI(title,abstract)；brain-computer interface(abstract)；EEG(abstract)；motor imagery(abstract)

2201.01468 2022-10-05 eess.SP 87%

Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification

Souvik Phadikar, Nidul Sinha, Rajdeep Ghosh

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)

2108.12295 2021-08-30 cs.HC cs.NA math.NA 87%

Motor-imagery classification model for brain-computer interface: a sparse group filter bank representation model

Cancheng Li, Chuanbo Qin, Jing Fang

专题命中运动想象：brain-computer interface(title,abstract)；BCI(abstract)；EEG(abstract)；motor imagery(abstract)

2003.00369 2020-03-03 cs.HC 87%

MIndGrasp: A New Training and Testing Framework for Motor Imagery Based 3-Dimensional Assistive Robotic Control

Daniel Freer, Guang-Zhong Yang

专题命中运动想象：motor imagery(title,abstract)；BCI(abstract)；brain computer interface(abstract)；EEG(abstract)

Comments 8 pages, 5 figures, submitted to IROS 2020

1. 运动想象 200 篇

Mirror contrastive loss based sliding window transformer for subject-independent motor imagery based EEG signal recognition

Unsupervised Adaptive Deep Learning Method For BCI Motor Imagery Decoding

CNN-based Approaches For Cross-Subject Classification in Motor Imagery: From The State-of-The-Art to DynamicNet

Deep Feature Mining via Attention-based BiLSTM-GCN for Human Motor Imagery Recognition

Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining

Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals

A Multimodal fNIRS-EEG Dataset for Unilateral Limb Motor Imagery

MI-BMInet: An Efficient Convolutional Neural Network for Motor Imagery Brain--Machine Interfaces with EEG Channel Selection

A channel attention based MLP-Mixer network for motor imagery decoding with EEG

MVCNet: Multi-View Contrastive Network for Motor Imagery Classification

FBCNet: A Multi-view Convolutional Neural Network for Brain-Computer Interface

Sparse Multitask Learning for Efficient Neural Representation of Motor Imagery and Execution

Improved Motor Imagery Classification Using Adaptive Spatial Filters Based on Particle Swarm Optimization Algorithm

Aggregating Intrinsic Information to Enhance BCI Performance through Federated Learning

Adversarial Stimuli: Attacking Brain-Computer Interfaces via Perturbed Sensory Events

Performance of Dual-Augmented Lagrangian Method and Common Spatial Patterns applied in classification of Motor-Imagery BCI

Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network

Optimized motor imagery paradigm based on imagining Chinese characters writing movement

Analysis of EEG signal by Flicker Noise Spectroscopy: Identification of right/left hand movement imagination

Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric

Riemannian Geometry-Preserving Variational Autoencoder for MI-BCI Data Augmentation

SSTAF: Spatial-Spectral-Temporal Attention Fusion Transformer for Motor Imagery Classification

DRDCAE-STGNN: An End-to-End Discrimina-tive Autoencoder with Spatio-Temporal Graph Learning for Motor Imagery Classification

A Single Subject Machine Learning Based Classification of Motor Imagery EEGs

Front-end Replication Dynamic Window (FRDW) for Online Motor Imagery Classification

Decoding Imagined Movement in People with Multiple Sclerosis for Brain-Computer Interface Translation

A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training

Neural Network-Based Feature Extraction for Multi-Class Motor Imagery Classification

Motor-imagery classification model for brain-computer interface: a sparse group filter bank representation model

MIndGrasp: A New Training and Testing Framework for Motor Imagery Based 3-Dimensional Assistive Robotic Control