ReviewFrontiers in computational neuroscience2021
Review on Emotion Recognition Based on Electroencephalography.
Review in Frontiers in computational neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Electroencephalography-Based Emotion Recognition Using Auditory Stimulation for Affective Brain-Computer Interfaces.Sensors (Basel, Switzerland) · 2026Article
- Cyborg-swarm cooperation and game via affective-based brain-machine interface.National science review · 2026Article
- EEG-based dynamic emotion recognition using multi-scale wavelet transform with a Spatio-Temporal neural network.Scientific reports · 2026Article
- UDC-SNN: An Uncertainty-Aware Dynamic Cascading Framework with Spiking Neural Network for Balancing Performance and Energy in Multimodal Emotion Recognition.Sensors (Basel, Switzerland) · 2026Article
- Toward Objective Assessment of Positive Affect: EEG and HRV Indices Distinguishing High and Low Arousal Positive Affect.Sensors (Basel, Switzerland) · 2026Article
- Schizophrenia detection via lobe-wise and overall EEG features using VMD and bayesian-optimized machine learning models.Frontiers in neuroscience · 2026Article
- EED-CL: Extended EEG Deformer with Contrastive Learning for Robust Emotion Recognition.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- Mapping EEG Metrics to Human Affective and Cognitive Models: An Interdisciplinary Scoping Review from a Cognitive Neuroscience Perspective.Biomimetics (Basel, Switzerland) · 2025Review
- Emotional recognition technologies applied to health: review and challenges.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Review
- Cognition in the cockpit: assessing instructional modalities in pilot training simulations.Frontiers in psychology · 2025Article
- Employing large language models for emotion detection in psychotherapy transcripts.Frontiers in psychiatry · 2025Article
- Decoded EEG neurofeedback-guided cognitive reappraisal training for emotion regulation.Cognitive neurodynamics · 2024Article
- Optimal channel dynamic selection for Constructing lightweight Data EEG-based emotion recognition.Heliyon · 2024Article
- Detecting emotions through EEG signals based on modified convolutional fuzzy neural network.Scientific reports · 2024Article
- Electroencephalogram-Based Facial Gesture Recognition Using Self-Organizing Map.Sensors (Basel, Switzerland) · 2024Article
- Electroencephalography as an objective method for assessing subjective emotions during the application of cream.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024Article
- Subject-Independent Emotion Recognition Based on EEG Frequency Band Features and Self-Adaptive Graph Construction.Brain sciences · 2024Article
- [Research on emotion recognition method based on IWOA-ELM algorithm for electroencephalogram].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2024Article
- A novel methodology for emotion recognition through 62-lead EEG signals: multilevel heterogeneous recurrence analysis.Frontiers in physiology · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Emotions are closely related to human behavior, family, and society. Changes in emotions can cause differences in electroencephalography (EEG) signals, which show different emotional states and are not easy to disguise. EEG-based emotion recognition has been widely used in human-computer interaction, medical diagnosis, military, and other fields. In this paper, we describe the common steps of an emotion recognition algorithm based on EEG from data acquisition, preprocessing, feature extraction, feature selection to classifier. Then, we review the existing EEG-based emotional recognition methods, as well as assess their classification effect. This paper will help researchers quickly understand the basic theory of emotion recognition and provide references for the future development of EEG. Moreover, emotion is an important representation of safety psychology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.