ReviewBrain sciences2020
Advances in Multimodal Emotion Recognition Based on Brain-Computer Interfaces.
Review in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed.
- Adaptive frequency band attention-guided CNN-BiLSTM for Spatial-Spectral-Temporal EEG emotion recognition.Brain informatics · 2026Article
- Closed-loop EEG-based neurofeedback and brain-computer interface interventions for mental health: a review.Frontiers in neuroscience · 2026Review
- Spatiotemporal multimodal emotion recognition using Temporal video sequences and pose features for child emotion classification.Scientific reports · 2025Article
- Improving EEG based brain computer interface emotion detection with EKO ALSTM model.Scientific reports · 2025Article
- A Comprehensive Review of Multimodal Emotion Recognition: Techniques, Challenges, and Future Directions.Biomimetics (Basel, Switzerland) · 2025Review
- Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations.Diagnostics (Basel, Switzerland) · 2025Review
- Emotional recognition technologies applied to health: review and challenges.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999) · 2025Review
- Semi-supervised bipartite graph construction with active EEG sample selection for emotion recognition.Medical & biological engineering & computing · 2024Article
- EEG-fNIRS-Based Emotion Recognition Using Graph Convolution and Capsule Attention Network.Brain sciences · 2024Article
- Working memory load recognition with deep learning time series classification.Biomedical optics express · 2024Article
- Joint analysis of interaction and psychological characteristics in english teaching based on multimodal integration.BMC psychology · 2024Article
- Multimodal Emotion Recognition Based on Facial Expressions, Speech, and EEG.IEEE open journal of engineering in medicine and biology · 2024Article
- Simultaneous EEG-fNIRS Data Classification Through Selective Channel Representation and Spectrogram Imaging.IEEE journal of translational engineering in health and medicine · 2024Article
- Combining temporal and spatial attention for seizure prediction.Health information science and systems · 2023Article
- State-of-the-Art on Brain-Computer Interface Technology.Sensors (Basel, Switzerland) · 2023Review
- Influence of Multimodal Emotional Stimulations on Brain Activity: An Electroencephalographic Study.Sensors (Basel, Switzerland) · 2023Article
- Study on the Psychological States of Olfactory Stimuli Using Electroencephalography and Heart Rate Variability.Sensors (Basel, Switzerland) · 2023Article
- A Bimodal Emotion Recognition Approach through the Fusion of Electroencephalography and Facial Sequences.Diagnostics (Basel, Switzerland) · 2023Article
- STGATE: Spatial-temporal graph attention network with a transformer encoder for EEG-based emotion recognition.Frontiers in human neuroscience · 2023Article
- Design of virtual BCI channels based on informer.Frontiers in human neuroscience · 2023Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
With the continuous development of portable noninvasive human sensor technologies such as brain-computer interfaces (BCI), multimodal emotion recognition has attracted increasing attention in the area of affective computing. This paper primarily discusses the progress of research into multimodal emotion recognition based on BCI and reviews three types of multimodal affective BCI (aBCI): aBCI based on a combination of behavior and brain signals, aBCI based on various hybrid neurophysiology modalities and aBCI based on heterogeneous sensory stimuli. For each type of aBCI, we further review several representative multimodal aBCI systems, including their design principles, paradigms, algorithms, experimental results and corresponding advantages. Finally, we identify several important issues and research directions for multimodal emotion recognition based on BCI.
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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.