脑机接口 / BCI

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） 纠错

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

Towards Forever Access for Implanted Brain-Computer Interfaces

Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee

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

Journal ref The 1st Workshop on Hot Topics in Ethical Computer Systems, April, 2024

The Interplay of Computing, Ethics, and Policy in Brain-Computer Interface Design

Muhammed Ugur, Raghavendra Pradyumna Pothukuchi, Abhishek Bhattacharjee

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

Journal ref The 1st Workshop on Hot Topics in Ethical Computer Systems, April, 2024

EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition

Rushuang Zhou, Weishan Ye, Zhiguo Zhang, Yanyang Luo, Li Zhang, Linling Li, Gan Huang, Yining Dong, Yuan-Ting Zhang, Zhen Liang

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

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition

Weishan Ye, Zhiguo Zhang, Fei Teng, Min Zhang, Jianhong Wang, Dong Ni, Fali Li, Peng Xu, Zhen Liang

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

Comments arXiv admin note: text overlap with arXiv:2304.06496

Multimodal Brain-Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines

Prithila Angkan, Behnam Behinaein, Zunayed Mahmud, Anubhav Bhatti, Dirk Rodenburg, Paul Hungler, Ali Etemad

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

Comments 16 pages, 9 figures, 11 tables. This work has been accepted to the IEEE Transactions on Intelligent Transportation Systems. \c{opyright} 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses

EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition

Yijin Zhou, Fu Li, Yang Li, Youshuo Ji, Lijian Zhang, Yuanfang Chen, Wenming Zheng, Guangming Shi

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

Comments 13 pages, 5 figures

EEG-based Cross-Subject Driver Drowsiness Recognition with an Interpretable Convolutional Neural Network

Jian Cui, Zirui Lan, Olga Sourina, Wolfgang Müller-Wittig

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

Journal ref IEEE Transactions on Neural Networks and Learning Systems, 2022

Brain-Computer Interfaces and Quantum Robots

Eliano Pessa, Paola zizzi

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

Comments 7 pages, contributed paper to the Conference ".mERGERs. Physical and Cognitive Mutations in Humans and Machines", Laval (France), 24-25 April 2009

EEG-EyeTrack: A Benchmark for Time Series and Functional Data Analysis with Open Challenges and Baselines

Tiago Vasconcelos Afonso, Florian Heinrichs

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

Comments Keywords: Functional data analysis, functional neural networks, EEG data, eye-tracking 18 pages, 2 figures, 9 tables

Calibration-Free Driver Drowsiness Classification based on Manifold-Level Augmentation

Dong-Young Kim, Dong-Kyun Han, Hye-Bin Shin

专题命中 BCI数据与评测 ：brain-computer interface(abstract,comments)；BCI(abstract)；EEG(abstract)；分类 eess.SP、cs.LG、cs.HC

Comments Submitted to 2023 11th IEEE International Winter Conference on Brain-Computer Interface

Temporal Context and Architecture: A Benchmark for Naturalistic EEG Decoding

时间上下文与架构：自然 EEG解码的基准测试

Mehmet Ergezer

机构 * School of Computing \& Data Science, Wentworth Institute of Technology Boston, MA USA Email 纠错

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

AI总结 本文通过对比不同架构在自然 EEG解码中的表现，揭示了效率与鲁棒性之间的权衡，S5在参数效率上表现优异，而EEGXF在鲁棒性和保守性上更具优势。

Journal ref ICASSP 2026

Affordable EEG, Actionable Insights: An Open Dataset and Evaluation Framework for Epilepsy Patient Stratification

HM Shadman Tabib, Md. Hasnaen Adil, Ayesha Rahman, Ahmmad Nur Swapnil, Maoyejatun Hasana, Ahmed Hossain Chowdhury, A. B. M. Alim Al Islam

机构 * Bangladesh University of Engineering and Technology (BUET)（孟加拉工程大学） ； Dhaka Medical College（达卡医学院） 纠错

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

Multi-dataset Joint Pre-training of Emotional EEG Enables Generalizable Affective Computing

Qingzhu Zhang, Jiani Zhong, Zongsheng Li, Xinke Shen, Quanying Liu

机构 * Department of Biomedical Engineering, Southern University of Science and Technology（生物医学工程系，南方科技大学） ； School of Data Science, University of California, San Diego（数据科学学院，加州大学圣地亚哥分校） ； School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen（科学与工程学院，香港中文大学（深圳）） 纠错

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

Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces

Osman Berke Guney, Deniz Kucukahmetler, Huseyin Ozkan

机构 * Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA（电气与计算机工程系，波士顿大学） ； Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany（人类认知与脑科学Max Planck研究所，莱比锡，德国） ； Faculty of Engineering and Natural Sciences, Sabanci University, Istanbul, Turkey（工程与自然科学学院，萨班奇大学，伊斯坦布尔，土耳其） 纠错

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

Comments 31 pages (including a 7-page appendix); 6 figures (2 in the appendix)

Journal ref Journal of Neural Engineering, Volume 22, Number 5, 2025

Explicit modelling of subject dependency in BCI decoding

Michele Romani, Francesco Paissan, Andrea Fossà, Elisabetta Farella

机构 * University of Trento（特伦托大学） ； University of Bologna（博洛尼亚大学） ； Fondazione Bruno Kessler（布鲁诺·凯斯勒基金会） 纠错

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

Comments 5 pages, 3 figures, conference paper

BiND: A Neural Discriminator-Decoder for Accurate Bimanual Trajectory Prediction in Brain-Computer Interfaces

Timothee Robert, MohammadAli Shaeri, Mahsa Shoaran

机构 * Robotics（机器人学） ； Integrated Neurotechnologies Laboratory（整合神经技术实验室） ； EPFL（苏黎世联邦理工学院） 纠错

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

Comments Accepted for publication in IEEE Neural Engineering (NER) Conference'25

Optimized two-stage AI-based Neural Decoding for Enhanced Visual Stimulus Reconstruction from fMRI Data

Lorenzo Veronese, Andrea Moglia, Luca Mainardi, Pietro Cerveri

机构 * Department of Electronics, Information, and Bioengineering, Politecnico di Milano（电子、信息与生物工程系，米兰理工大学） ； Università di Pavia（帕维亚大学） 纠错

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

Comments 14 pages, 5 figures

Journal ref J. Neural Eng. 22 046048 (2025)

mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup

Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng

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

Comments CogSci 2025 Oral

Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition

Shadi Sartipi, Mujdat Cetin

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

EEG-based Cognitive Load Classification using Feature Masked Autoencoding and Emotion Transfer Learning

Dustin Pulver, Prithila Angkan, Paul Hungler, Ali Etemad

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG、cs.HC

Comments This paper has been accepted to the 25th International Conference on Multimodal Interaction (ICMI 2023). 8 pages, 6 figures, 6 tables

A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition

Zhe Wang, Yongxiong Wang, Jiapeng Zhang, Yiheng Tang, Zhiqun Pan

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

Node-wise Domain Adaptation Based on Transferable Attention for Recognizing Road Rage via EEG

Gao Xueqi, Xu Chao, Song Yihang, Hu Jing, Xiao Jian, Meng Zhaopeng

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

Towards emotion recognition for virtual environments: an evaluation of EEG features on benchmark dataset

M. L. Menezes, A. Samara, L. Galway, A. Sant'anna, A. Verikas, F. Alonso-Fernandez, H. Wang, R. Bond

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 eess.SP、cs.HC

Comments Published at Personal and Ubiquitous Computing Journal (PUC)

Enhancing the Security & Privacy of Wearable Brain-Computer Interfaces

Zahra Tarkhani, Lorena Qendro, Malachy O'Connor Brown, Oscar Hill, Cecilia Mascolo, Anil Madhavapeddy

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

Transfer Learning improves MI BCI models classification accuracy in Parkinson's disease patients

Aleksandar Miladinović, Miloš Ajčević, Pierpaolo Busan, Joanna Jarmolowska, Giulia Silveri, Susanna Mezzarobba, Piero Paolo Battaglini, Agostino Accardo

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

The Spatial Real and Virtual Sound Stimuli Optimization for the Auditory BCI

Nozomu Nishikawa, Yoshihiro Matsumoto, Shoji Makino, Tomasz M. Rutkowski

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

Comments APSIPA ASC 2012

Toward cross-subject and cross-session generalization in EEG-based emotion recognition: Systematic review, taxonomy, and methods

Andrea Apicella, Pasquale Arpaia, Giovanni D'Errico, Davide Marocco, Giovanna Mastrati, Nicola Moccaldi, Roberto Prevete

专题命中 BCI数据与评测 ：EEG(title,abstract)；分类 cs.LG

Comments This work has been published on Neurocomputing journal in its final version. Please refer to the final Open Access version of the paper on https://doi.org/10.1016/j.neucom.2024.128354 . Old title "Machine Learning Strategies to Improve Generalization in EEG-based Emotion Assessment: a Systematic Review" has been changed to the current one

Journal ref Neurocomputing, 2024

EDAPT: Towards Calibration-Free BCIs with Continual Online Adaptation

Lisa Haxel, Jaivardhan Kapoor, Ulf Ziemann, Jakob H. Macke

机构 * Excellence Cluster Machine Learning, University of Tübingen（卓越集群机器学习中心，图宾根大学） ； Tübingen AI Center, University of Tübingen（图宾根人工智能中心，图宾根大学） ； Department of Neurology and Stroke, University of Tübingen（神经学与中风部门，图宾根大学） ； Hertie Institute for Clinical Brain Research, University of Tübingen（赫尔特研究所，图宾根大学） ； Department of Empirical Inference, Max Planck Institute for Intelligent Systems（经验推理部门，智能系统马克斯·普朗克研究所） ； Hertie Institute for AI in Brain Health, Tübingen（赫尔特人工智能与脑健康研究所，图宾根） 纠错

专题命中 BCI数据与评测 ：BCI(abstract)；brain-computer interface(abstract)；neural signal(abstract)；分类 q-bio.NC、cs.LG、cs.HC

Comments Preprint

Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX

Xia Chen, Xiangbin Teng, Han Chen, Yafeng Pan, Philipp Geyer

专题命中 BCI数据与评测 ：BCI(abstract)；brain-computer interface(abstract)；EEG(abstract)；分类 q-bio.NC、eess.SP、cs.HC

Comments 19 pages, 6 figures

Journal ref Biomedical Signal Processing and Control, 2023