EEG Emotion Recognition

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

3 leaderboard tables shown for this task, 3 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

14 shown of 14 papers with code (35 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• EEG-Based Emotion Recognition Using Regularized Graph Neural Networks
  18 Jul 2019 5 repositories listed
  Finally, investigations on the neuronal activities reveal important brain regions and inter-channel relations for EEG-based emotion recognition.
• LGGNet: Learning from Local-Global-Graph Representations for Brain-Computer Interface
  5 May 2021 2 repositories listed
  It captures temporal dynamics of EEG which then serves as input to the proposed local and global graph-filtering layers.
• Evaluation in EEG Emotion Recognition: State-of-the-Art Review and Unified Framework
  14 May 2025 1 repository listed
  Analyzing 216 papers published between 2018 and 2023, we uncover that the field lacks a unified evaluation protocol, which is essential to fairly define the state of the art, compare new approaches and to track the…
• A novel Fourier Adjacency Transformer for advanced EEG emotion recognition
  28 Feb 2025 1 repository listed Syntology ran 1 of 14 samples · 13 unverified
  EEG emotion recognition faces significant hurdles due to noise interference, signal nonstationarity, and the inherent complexity of brain activity which make accurately emotion classification.
• MEEG and AT-DGNN: Improving EEG Emotion Recognition with Music Introducing and Graph-based Learning
  8 Jul 2024 1 repository listed
  This model combines an attention mechanism with a dynamic graph neural network (DGNN) to capture intricate EEG dynamics.
• EmT: A Novel Transformer for Generalized Cross-subject EEG Emotion Recognition
  26 Jun 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  Furthermore, we design a temporal contextual transformer module (TCT) with two types of token mixers to learn the temporal contextual information.
• Feature Fusion Based on Mutual-Cross-Attention Mechanism for EEG Emotion Recognition
  20 Jun 2024 1 repository listed
  An objective and accurate emotion diagnostic reference is vital to psychologists, especially when dealing with patients who are difficult to communicate with for pathological reasons.
• Real-time EEG-based Emotion Recognition Model using Principal Component Analysis and Tree-based Models for Neurohumanities
  28 Jan 2024 1 repository listed
  Within the field of Humanities, there is a recognized need for educational innovation, as there are currently no reported tools available that enable individuals to interact with their environment to create an enhanced…
• MASA-TCN: Multi-anchor Space-aware Temporal Convolutional Neural Networks for Continuous and Discrete EEG Emotion Recognition
  30 Aug 2023 1 repository listed
  A natural method is to learn the temporal dynamic patterns.
• GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
  12 Apr 2022 1 repository listed
  GMSS has the ability to learn more general representations by integrating multiple self-supervised tasks, including spatial and frequency jigsaw puzzle tasks, and contrastive learning tasks.
• Evaluation of Interpretability for Deep Learning algorithms in EEG Emotion Recognition: A case study in Autism
  25 Nov 2021 1 repository listed
  This study is the first to consolidate a more transparent feature-relevance calculation for a successful EEG-based facial emotion recognition using a within-subject-trained CNN in typically-developed and ASD individuals.
• EEG-Based Emotion Recognition Using Genetic Algorithm Optimized Multi-Layer Perceptron
  4 Nov 2021 1 repository listed
  Low/High Valence with an average accuracy of 91.
• MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition
  16 Jul 2021 1 repository listed
  Although several studies have adopted domain adaptation (DA) approaches to tackle this problem, most of them treat multiple EEG data from different subjects and sessions together as a single source domain for transfer,…
• FOIT: Fast Online Instance Transfer for Improved EEG Emotion Recognition
  1 Feb 2021 1 repository listed
  However, most of them are iterative methods, which need considerable training time and are unfeasible in practice.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.