Cover Image

CWEFS: Brain volume conduction effects inspired channel-wise EEG feature selection for multi-dimensional emotion recognition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xu, Xueyuan, Dong, Wenjia, Wei, Fulin, Zhuo, Li
Format:	Preprint
Published:	2025
Subjects:	Human-Computer Interaction Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

REFS: Robust EEG feature selection with missing multi-dimensional annotation for emotion recognition
by: Xu, Xueyuan, et al.
Published: (2025)

ASLSL: Adaptive shared latent structure learning with incomplete multi-modal physiological data for multi-dimensional emotional feature selection
by: Xu, Xueyuan, et al.
Published: (2025)

ADSEL: Adaptive dual self-expression learning for EEG feature selection via incomplete multi-dimensional emotional tagging
by: Yu, Tianze, et al.
Published: (2025)

FDC-Net: Rethinking the association between EEG artifact removal and multi-dimensional affective computing
by: Dong, Wenjia, et al.
Published: (2025)

Evaluating multimodal emotion recognition in proactive conversational agents: A user study
by: Dragut, Adnana, et al.
Published: (2026)

Technosocial risks of ideal emotion recognition technologies: A defense of the (social) value of emotional expressions
by: Pregent, Alexandra
Published: (2026)

Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms
by: Kwak, Heon-Gyu, et al.
Published: (2024)

Can AI detect pain and express pain empathy? A review from emotion recognition and a human-centered AI perspective
by: Cao, Siqi, et al.
Published: (2021)

PL-DCP: A Pairwise Learning framework with Domain and Class Prototypes for EEG emotion recognition under unseen target conditions
by: Li, Guangli, et al.
Published: (2024)

Backpropagation-Free Test-Time Adaptation for Lightweight EEG-Based Brain-Computer Interfaces
by: Li, Siyang, et al.
Published: (2026)

Emotion recognition using a glasses-type wearable device via multi-channel facial responses
by: Kwon, Jangho, et al.
Published: (2019)

Limited but consistent gains in adversarial robustness by co-training object recognition models with human EEG
by: Guo, Manshan, et al.
Published: (2024)

EEG motor imagery decoding: A framework for comparative analysis with channel attention mechanisms
by: Wimpff, Martin, et al.
Published: (2023)

ViEEG: Hierarchical Visual Neural Representation for EEG Brain Decoding
by: Liu, Minxu, et al.
Published: (2025)

Protecting Multiple Types of Privacy Simultaneously in EEG-based Brain-Computer Interfaces
by: Meng, Lubin, et al.
Published: (2024)

Unveiling Thoughts: A Review of Advancements in EEG Brain Signal Decoding into Text
by: Murad, Saydul Akbar, et al.
Published: (2024)

Incomplete Depression Feature Selection with Missing EEG Channels
by: Gong, Zhijian, et al.
Published: (2025)

EEG-SCMM: Soft Contrastive Masked Modeling for Cross-Corpus EEG-Based Emotion Recognition
by: Liu, Qile, et al.
Published: (2024)

UF-AMA: A unified framework for cross-domain emotion recognition via adaptive multimodal alignment
by: Wang, Zheng, et al.
Published: (2026)

Dynamic Vision from EEG Brain Recordings, How much does EEG know?
by: Singh, Prajwal, et al.
Published: (2025)

EEG-FM-Bench: A Comprehensive Benchmark for the Systematic Evaluation of EEG Foundation Models
by: Xiong, Wei, et al.
Published: (2025)

Optimising EEG decoding with refined sampling and multimodal feature integration
by: Akbarinia, Arash
Published: (2024)

Uncovering the EEG Temporal Representation of Low-dimensional Object Properties
by: Tang, Jiahua, et al.
Published: (2025)

Self context-aware emotion perception on human-robot interaction
by: Lin, Zihan, et al.
Published: (2024)

DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis
by: Pan, Yue, et al.
Published: (2024)

Understanding Mental States in Active and Autonomous Driving with EEG
by: Angkan, Prithila, et al.
Published: (2025)

EEG-based AI-BCI Wheelchair Advancement: Hybrid Deep Learning with Motor Imagery for Brain Computer Interface
by: Thapa, Bipul, et al.
Published: (2025)

Detecting Reading-Induced Confusion Using EEG and Eye Tracking
by: Zhuang, Haojun, et al.
Published: (2025)

Foundation Models for Cross-Domain EEG Analysis Application: A Survey
by: Li, Hongqi, et al.
Published: (2025)

EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach
by: Paneru, Biplov, et al.
Published: (2024)

AppAgent v2: Advanced Agent for Flexible Mobile Interactions
by: Li, Yanda, et al.
Published: (2024)

Decoding Workload and Agreement From EEG During Spoken Dialogue With Conversational AI
by: Zidar, Lucija Mihić, et al.
Published: (2026)

Adult learners recall and recognition performance and affective feedback when learning from an AI-generated synthetic video
by: Li, Zoe Ruo-Yu, et al.
Published: (2024)

EEG for fatigue monitoring
by: Rakhmatulin, Ildar
Published: (2024)

On using AI for EEG-based BCI applications: problems, current challenges and future trends
by: Barbera, Thomas, et al.
Published: (2025)

LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition
by: Liu, Huan, et al.
Published: (2024)

Joint Contrastive Learning with Feature Alignment for Cross-Corpus EEG-based Emotion Recognition
by: Liu, Qile, et al.
Published: (2024)

MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
by: Xiao, Minghao, et al.
Published: (2024)

Imagining and building wise machines: The centrality of AI metacognition
by: Johnson, Samuel G. B., et al.
Published: (2024)

DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation
by: Duan, Yiqun, et al.
Published: (2023)