ReviewSensors (Basel, Switzerland)2020
EEG-Based BCI Emotion Recognition: A Survey.
Review in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
59 citing papers in PubMed.
- Effectiveness of a Mindfulness Meditation App Based on an Electroencephalography-Based Brain-Computer Interface in Radiofrequency Catheter Ablation for Patients With Atrial Fibrillation: Pilot Randomized Controlled Trial.JMIR mHealth and uHealth · 2023Trial
- Diffusion Inverse Filtering: Enhancing Functional Connectivity-Based Pattern Recognition by Counteracting Spatial Smoothing.Brain sciences · 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
- Considering whether brain-computer interfaces have prospective potential to support children who have the physical abilities for touch-based AAC access: a forum manuscript.Augmentative and alternative communication (Baltimore, Md. : 1985) · 2026Article
- Effects of Forest Trail and Ground Walking on Mental and Physical Health Promotion in Middle-Aged Women Living in Urban Areas.Healthcare (Basel, Switzerland) · 2025Article
- Attention-Based Transfer Enhancement Network for Cross-Corpus EEG Emotion Recognition.Sensors (Basel, Switzerland) · 2025Article
- Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data.Brain sciences · 2025Article
- From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications.Brain sciences · 2025Review
- Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations.Diagnostics (Basel, Switzerland) · 2025Review
- Explainable AI for Bipolar Disorder Diagnosis Using Hjorth Parameters.Diagnostics (Basel, Switzerland) · 2025Article
- Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications.Journal of clinical medicine · 2025Review
- CATM: A Multi-Feature-Based Cross-Scale Attentional Convolutional EEG Emotion Recognition Model.Sensors (Basel, Switzerland) · 2024Article
- Insights from EEG analysis of evoked memory recalls using deep learning for emotion charting.Scientific reports · 2024Article
- Working memory load recognition with deep learning time series classification.Biomedical optics express · 2024Article
- EEG-based emotion recognition using a temporal-difference minimizing neural network.Cognitive neurodynamics · 2024Article
- EEG multi-domain feature transfer based on sparse regularized Tucker decomposition.Cognitive neurodynamics · 2024Article
- Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface.Nature communications · 2024Article
- A review of artificial intelligence methods enabled music-evoked EEG emotion recognition and their applications.Frontiers in neuroscience · 2024Review
- Neural correlates of recalled sadness, joy, and fear states: a source reconstruction EEG study.Frontiers in psychiatry · 2024Article
- Online functional connectivity analysis of large all-to-all networks in MNE Scan.Imaging neuroscience (Cambridge, Mass.) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Affecting computing is an artificial intelligence area of study that recognizes, interprets, processes, and simulates human affects. The user's emotional states can be sensed through electroencephalography (EEG)-based Brain Computer Interfaces (BCI) devices. Research in emotion recognition using these tools is a rapidly growing field with multiple inter-disciplinary applications. This article performs a survey of the pertinent scientific literature from 2015 to 2020. It presents trends and a comparative analysis of algorithm applications in new implementations from a computer science perspective. Our survey gives an overview of datasets, emotion elicitation methods, feature extraction and selection, classification algorithms, and performance evaluation. Lastly, we provide insights for future developments.
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What OpenQuestion holds
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.