脑机接口 / BCI - arXivDaily 专题

2603.12279 2026-03-17 q-bio.NC 83%

Toward Robust, Reproducible, and Widely Accessible Intracranial Language Brain-Computer Interfaces: A Comprehensive Review of Neural Mechanisms, Hardware, Algorithms, Evaluation, Clinical Pathways and Future Directions

迈向稳健、可重复和广泛可及的颅内语言脑机接口：神经机制、硬件、算法、评估、临床路径及未来方向的综合性综述

Dongyi He, Wai Ting Siok, Nizhuan Wang

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；neural decoding(abstract)；分类 q-bio.NC

AI总结综述探讨了颅内语言脑机接口在恢复严重运动和语言障碍患者交流中的潜力，分析了神经机制、硬件、算法等核心方法，并提出未来发展方向。

2602.19138 2026-02-24 q-bio.NC cs.AI 83%

CRCC: Contrast-Based Robust Cross-Subject and Cross-Site Representation Learning for EEG

CRCC: 基于对比的跨受试者和跨站点表示学习

Xiaobin Wong, Zhonghua Zhao, Haoran Guo, Zhengyi Liu, Yu Wu, Feng Yan, Zhiren Wang, Sen Song

机构 * Tsinghua Laboratory of Brain（清华大学脑科学实验室）； School of Biomedical Engineering, Tsinghua University（清华大学生物医学工程学院）； Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所）； University of Chinese Academy of Sciences（中国科学院大学）； Weixian College, Tsinghua University（清华大学魏先学院）； School of Artificial Intelligence, Beijing University of Posts（北京邮电大学人工智能学院）； School of Computer Science（计算机科学学院）； Technology, Northwestern Polytechnical University, Xi'an, China（技术，西北工业大学，西安，中国）； Beijing Huilongguan Hospital, Capital Medical University（北京回龙观医院，首都医科大学）； Peking University Huilongguan Clinical Medical School（北京大学回龙观临床医学院）

专题命中 BCI数据与评测：EEG(title,abstract)；neural decoding(abstract)；分类 q-bio.NC

AI总结 CRCC通过对比学习和对抗优化提升跨站点EEG表示学习的泛化能力，实现10.7个百分点的准确率提升。

Comments First edition

1310.8115 2026-01-21 cs.HC math.DG 83%

A New Generation of Brain-Computer Interface Based on Riemannian Geometry

基于黎曼几何的新一代脑机接口

Marco Congedo, Alexandre Barachant, Anton Andreev

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

AI总结基于黎曼几何的新一代BCI框架，无需训练即可快速适应用户，具备跨会话和跨受试者泛化能力，适用于多种BCI信号类型。

Comments 33 pages, 9 Figures, 17 equations/algorithms

2507.17524 2025-09-25 cs.HC 83%

SDC-Net: A Domain Adaptation Framework with Semantic-Dynamic Consistency for Cross-Subject EEG Emotion Recognition

Jiahao Tang, Youjun Li, Xiangting Fan, Yangxuan Zheng, Siyuan Lu, Xueping Li, Peng Fang, Chenxi Li, Zi-Gang Huang

专题命中 BCI数据与评测：EEG(title,abstract)；brain-computer interface(abstract)；分类 cs.HC

2212.03169 2025-04-15 cs.HC 83%

When Brain-Computer Interfaces Meet the Metaverse: Landscape, Demonstrator, Trends, Challenges, and Concerns

Sergio López Bernal, Mario Quiles Pérez, Enrique Tomás Martínez Beltrán, Gregorio Martínez Pérez, Alberto Huertas Celdrán

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

2502.16485 2025-02-25 cs.HC 83%

SDA-DDA Semi-supervised Domain Adaptation with Dynamic Distribution Alignment Network For Emotion Recognition Using EEG Signals

Jiahao Tang

专题命中 BCI数据与评测：EEG(title,abstract)；brain-computer interface(abstract)；分类 cs.HC

2412.12215 2024-12-18 cs.LG cs.AI cs.SD eess.AS 83%

Imagined Speech State Classification for Robust Brain-Computer Interface

Byung-Kwan Ko, Jun-Young Kim, Seo-Hyun Lee

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.LG

2412.09933 2024-12-16 cs.HC 83%

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces

X. Jiang, L. Meng, S. Li, D. Wu

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；EEG(abstract)；分类 cs.HC

Journal ref Science China Information Sciences, 66:182402, 2023

2410.07920 2024-10-11 cs.HC cs.ET 83%

Post-Training Quantization in Brain-Computer Interfaces based on Event-Related Potential Detection

Hubert Cecotti, Dalvir Dhaliwal, Hardip Singh, Yogesh Kumar Meena

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

2403.16540 2024-03-26 cs.HC 83%

Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach with Emotional EEG Style Transfer Network

Yijin Zhou, Fu Li, Yang Li, Youshuo Ji, Lijian Zhang, Yuanfang Chen

专题命中 BCI数据与评测：EEG(title,abstract)；brain-computer interface(abstract)；分类 cs.HC

Comments 8 pages. arXiv admin note: substantial text overlap with arXiv:2308.05767

2403.13844 2024-03-22 cs.LG cs.AI 83%

Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces

Yejia Liu, Shijin Duan, Xiaolin Xu, Shaolei Ren

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.LG

Comments Accepted as a full paper by the tinyML Research Symposium 2024

2309.01848 2023-09-06 cs.HC 83%

A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey

Howe Yuan Zhu, Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Chin-Teng Lin

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

2212.08811 2023-09-01 eess.SP cs.NI 83%

Toward BCI-enabled Metaverse: A Joint Learning and Resource Allocation Approach

Nguyen Quang Hieu, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz

专题命中 BCI数据与评测：BCI(title,abstract)；brain-computer interface(abstract)；分类 eess.SP

2308.16102 2023-08-31 cs.HC 83%

A Surgery-Detection Two-Dimensional Panorama of Signal Acquisition Technologies in Brain-Computer Interface

Yike Sun, Xiaogang Chen, Bingchuan Liu, Liyan Liang, Yijun Wang, Shangkai Gao, Xiaorong Gao

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

2307.11023 2023-07-21 cs.HC cs.SE 83%

Visual Flow-based Programming Plugin for Brain Computer Interface in Computer-Aided Design

Tong Bill Xu, Saleh Kalantari

专题命中 BCI数据与评测：brain computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

2201.12681 2023-03-16 cs.HC 83%

Revisiting Embodiment for Brain-Computer Interfaces

Barış Serim, Michiel Spapé, Giulio Jacucci

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

Comments Proceedings of the 30th ACM International Conference on Multimedia (2022)

Journal ref Human-Computer Interaction 2023

2205.09584 2022-11-10 cs.AI cs.HC cs.SY eess.SY 83%

Multi-Armed Bandits in Brain-Computer Interfaces

Frida Heskebeck, Carolina Bergeling, Bo Bernhardsson

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

2202.06509 2022-05-09 cs.HC 83%

PR-PL: A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for EEG-Based Emotion Recognition

Rushuang Zhou, Zhiguo Zhang, Hong Fu, Li Zhang, Linling Li, Gan Huang, Yining Dong, Fali Li, Xin Yang, Zhen Liang

专题命中 BCI数据与评测：EEG(title,abstract)；brain-computer interface(abstract)；分类 cs.HC

2109.09559 2022-04-07 cs.HC cs.LG eess.SP q-bio.NC 83%

Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition

Xinke Shen, Xianggen Liu, Xin Hu, Dan Zhang, Sen Song

专题命中 BCI数据与评测：EEG(title,abstract)；分类 q-bio.NC、eess.SP、cs.LG

Comments 23 pages, 13 figures, journal paper. IEEE Transactions on Affective Computing, 2022

2112.01935 2021-12-06 cs.HC 83%

Automatic Exam Evaluation based on Brain Computer Interface

Hameda F Balat, M A El-dosuky, El-Saeed Abd M El-Razek, Magdi Z Rashed

专题命中 BCI数据与评测：brain computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

2110.14845 2021-10-29 cs.HC 83%

Clinical Brain-Computer Interface Challenge 2020 (CBCIC at WCCI2020): Overview, methods and results

Anirban Chowdhury, Javier Andreu-Perez

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

Journal ref IEEE Transactions on Medical Robotics and Bionics (2021)

2012.12473 2021-01-06 cs.LG cs.CV eess.IV 83%

Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI

Parisa Ghane, Narges Zarnaghi Naghsh, Ulisses Braga-Neto

专题命中 BCI数据与评测：BCI(title)；brain computer interface(abstract)；motor imagery(abstract)；分类 cs.LG

1709.03252 2017-09-13 cs.HC stat.ML 83%

Evaluation of Classical Features and Classifiers in Brain-Computer Interface Tasks

Ehsan Arbabi, Mohammad Bagher Shamsollahi

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

1509.01338 2015-09-07 cs.HC 83%

Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions

Sumit Soman, Siddharth Srivastava, Saurabh Srivastava, Nitendra Rajput

专题命中 BCI数据与评测：brain computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

Comments Reprint from Proceedings of the 9th International Conference on Interfaces and Human Computer Interaction (http://ihci-conf.org/), 8 pages

1207.3351 2012-07-17 cs.GR cs.HC 83%

Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistance

Laurent George, Maud Marchal, Loeïz Glondu, Anatole Lécuyer

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

Comments EuroHaptics (2012)

1003.2660 2010-03-16 cs.HC 83%

An Educative Brain-Computer Interface

Kirill A. Sorudeykin

专题命中 BCI数据与评测：brain-computer interface(title,abstract)；BCI(abstract)；分类 cs.HC

2601.00843 2026-01-06 cs.AI 83%

OmniNeuro: A Multimodal HCI Framework for Explainable BCI Feedback via Generative AI and Sonification

OmniNeuro：一种通过生成式AI和声音化实现可解释BCI反馈的多模态人机交互框架

Ayda Aghaei Nia

机构 * Institute for Artificial Intelligence Researcher（人工智能研究院）

专题命中 BCI数据与评测：BCI(title,abstract)；brain-computer interface(abstract)

AI总结 OmniNeuro通过生成式AI和声音化技术，提供可解释的BCI反馈，提升用户神经可塑性与解码准确性。

Comments 16 pages, 7 figures, 3 tables. Source code and implementation available at: https://github.com/ayda-aghaei/OmniNeuro. Highlights the use of LLMs (Gemini) and Quantum probability formalism for real-time BCI explainability

2412.07228 2024-12-11 cs.HC cs.LG 82%

T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs

Siyang Li, Ziwei Wang, Hanbin Luo, Lieyun Ding, Dongrui Wu

专题命中 BCI数据与评测：BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)；motor imagery(abstract)

Journal ref S. Li, Z. Wang, H. Luo, L. Ding and D. Wu, T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs, IEEE Trans. on Biomedical Engineering, 71(2):423-432, 2024

2603.28122 2026-03-31 quant-ph cs.AI 82%

Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Data

Q-DIVER：结合量子迁移学习和可微量子架构搜索的EEG数据集成框架

Junghoon Justin Park, Yeonghyeon Park, Jiook Cha

机构 * Seoul National University（首尔大学）

专题命中 BCI数据与评测：EEG(title,abstract)；motor imagery(abstract)

AI总结本文提出Q-DIVER框架，结合大规模预训练EEG编码器与可微量子分类器，通过可微量子架构搜索实现端到端微调，验证了量子迁移学习在高维生物信号处理中的参数高效性。

2510.00725 2025-10-02 cs.CV 82%

DEAP DIVE: Dataset Investigation with Vision transformers for EEG evaluation

Annemarie Hoffsommer, Helen Schneider, Svetlana Pavlitska, J. Marius Zöllner

机构 * Karlsruhe Institute of Technology (KIT)（卡尔斯鲁厄理工学院）； FZI Research Center for Information Technology（弗劳恩霍夫信息技术研究中心）

专题命中 BCI数据与评测：EEG(title,abstract)；neural signal(abstract)

Comments Accepted for publication at ABAW Workshop at ICCV2025

1. BCI数据与评测 500 篇

Toward Robust, Reproducible, and Widely Accessible Intracranial Language Brain-Computer Interfaces: A Comprehensive Review of Neural Mechanisms, Hardware, Algorithms, Evaluation, Clinical Pathways and Future Directions

CRCC: Contrast-Based Robust Cross-Subject and Cross-Site Representation Learning for EEG

A New Generation of Brain-Computer Interface Based on Riemannian Geometry

SDC-Net: A Domain Adaptation Framework with Semantic-Dynamic Consistency for Cross-Subject EEG Emotion Recognition

When Brain-Computer Interfaces Meet the Metaverse: Landscape, Demonstrator, Trends, Challenges, and Concerns

SDA-DDA Semi-supervised Domain Adaptation with Dynamic Distribution Alignment Network For Emotion Recognition Using EEG Signals

Imagined Speech State Classification for Robust Brain-Computer Interface

Active Poisoning: Efficient Backdoor Attacks on Transfer Learning-Based Brain-Computer Interfaces

Post-Training Quantization in Brain-Computer Interfaces based on Event-Related Potential Detection

Enhancing Cross-Dataset EEG Emotion Recognition: A Novel Approach with Emotional EEG Style Transfer Network

Scheduled Knowledge Acquisition on Lightweight Vector Symbolic Architectures for Brain-Computer Interfaces

A Human-Centric Metaverse Enabled by Brain-Computer Interface: A Survey

Toward BCI-enabled Metaverse: A Joint Learning and Resource Allocation Approach

A Surgery-Detection Two-Dimensional Panorama of Signal Acquisition Technologies in Brain-Computer Interface

Visual Flow-based Programming Plugin for Brain Computer Interface in Computer-Aided Design

Revisiting Embodiment for Brain-Computer Interfaces

Multi-Armed Bandits in Brain-Computer Interfaces

PR-PL: A Novel Transfer Learning Framework with Prototypical Representation based Pairwise Learning for EEG-Based Emotion Recognition

Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition

Automatic Exam Evaluation based on Brain Computer Interface

Clinical Brain-Computer Interface Challenge 2020 (CBCIC at WCCI2020): Overview, methods and results

Comparison of Classification Algorithms Towards Subject-Specific and Subject-Independent BCI

Evaluation of Classical Features and Classifiers in Brain-Computer Interface Tasks

Brain Computer Interfaces for Mobile Apps: State-of-the-art and Future Directions

Combining Brain-Computer Interfaces and Haptics: Detecting Mental Workload to Adapt Haptic Assistance

An Educative Brain-Computer Interface

OmniNeuro: A Multimodal HCI Framework for Explainable BCI Feedback via Generative AI and Sonification

T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs

Q-DIVER: Integrated Quantum Transfer Learning and Differentiable Quantum Architecture Search with EEG Data

DEAP DIVE: Dataset Investigation with Vision transformers for EEG evaluation