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EEG–fNIRS-Based Emotion Recognition Using Graph Convolution and Capsule Attention Network
16 references·0 citing·43 second hopsampled
EEG–fNIRS-Based Emotion Recognition Using Graph Convolution and Capsule Attention Network (2024)EEG–fNIRS-Based Emotion Recognition Using…Self‐training maximum classifier discrepancy for EEG emotion recognition (2023)Self‐training maximum classif…Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNet (2023)Cross-Subject Emotion Recogni…A multi-head residual connection GCN for EEG emotion recognition (2023)A multi-head residual connect…TC-Net: A Transformer Capsule Network for EEG-based emotion recognition (2022)TC-Net: A Transformer Capsule…Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism (2022)Emotion recognition from EEG …EEG Based Emotion Recognition: A Tutorial and Review (2022)EEG Based Emotion Recognition…A Multi-Dimensional Graph Convolution Network for EEG Emotion Recognition (2022)A Multi-Dimensional Graph Con…EEG-based Emotion Recognition with Feature Fusion Networks (2021)EEG-based Emotion Recognition…Multimodal Affective State Assessment Using fNIRS + EEG and Spontaneous Facial Expression (2020)Multimodal Affective State As…Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network (2020)Multi-channel EEG-based emoti…Emotion Feature Analysis and Recognition Based on Reconstructed EEG Sources (2020)Emotion Feature Analysis and …Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces (2020)Advances in Multimodal Emotio…fNIRS Evidence for Recognizably Different Positive Emotions (2019)fNIRS Evidence for Recognizab…Building predictive models of emotion with functional near-infrared spectroscopy (2017)Building predictive models of…The Many Meanings/Aspects of Emotion: Definitions, Functions, Activation, and Regulation (2010)The Many Meanings/Aspects of …An Appraisal Account of Individual Differences in Emotional Experience (2010)An Appraisal Account of Indiv…Science and Human Behavior (1953)Science and Human Behavior. (1954)Core affect and the psychological construction of emotion. (2003)“Emotion”: The History of a Keyword in Crisis (2012)Confusion can be beneficial for learning (2012)The Ability Model of Emotional Intelligence: Principles and Updates (2016)Stress, appraisal, and coping (1985)Self-Efficacy: The Exercise of Control (1999)The dynamic interplay between emotions in daily life: Augmentation, blunting, and the role of appraisal overlap. (2012)Stress: Appraisal and Coping (2013)EXPLORING THE RELATIONSHIP BETWEEN (2014)Is the news making us unhappy? The influence of daily news exposure on emotional states (2019)Patterns of cognitive appraisal in emotion. (1985)To Explain or to Predict? (2010)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Ten challenges for EEG-based affective computing (2019)Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy (2020)A Large Finer-grained Affective Computing EEG Dataset (2023)An argument for basic emotions (1992)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Review on Emotion Recognition Based on Electroencephalography (2021)EEG-based Emotion Recognition via Transformer Neural Architecture Search (2022)A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)A circumplex model of affect. (1980)Affective Computing: Recent Advances, Challenges, and Future Trends (2023)Multimodal Emotion Recognition Based on Facial Expressions, Speech, and EEG (2023)A review on EEG-based multimodal learning for emotion recognition (2025)An approach to environmental psychology (1974)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Temporal relative transformer encoding cooperating with channel attention for EEG emotion analysis (2023)Developing an EEG-Based Emotion Recognition Using Ensemble Deep Learning Methods and Fusion of Brain Effective Connectivity Maps (2024)Advances in EEG-based emotion recognition: Challenges, methodologies, and future directions (2025)Interrater reliability: the kappa statistic (2012)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition (2023)Affective Computing (1997)Emotion recognition in EEG signals using deep learning methods: A review (2023)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications (2025)Emotion recognition in human-computer interaction (2001)Bi-Branch Vision Transformer Network for EEG Emotion Recognition (2023)Emotion Detection from EEG Signals Using Machine Deep Learning Models (2024)A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications (2024)
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References

  • 2010The Many Meanings/Aspects of Emotion: Definitions, Functions, Activation, and Regulation710 cited
  • 2022EEG Based Emotion Recognition: A Tutorial and Review505 cited
  • 2020Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network220 cited
  • 2020Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces151 cited
  • 2019fNIRS Evidence for Recognizably Different Positive Emotions133 cited
  • 2022Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism133 cited
  • 2010An Appraisal Account of Individual Differences in Emotional Experience119 cited
  • 2022TC-Net: A Transformer Capsule Network for EEG-based emotion recognition117 cited
  • 2023Self‐training maximum classifier discrepancy for EEG emotion recognition108 cited
  • 2021EEG-based Emotion Recognition with Feature Fusion Networks99 cited
  • 2022A Multi-Dimensional Graph Convolution Network for EEG Emotion Recognition95 cited
  • 2023Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNet73 cited
  • 2020Emotion Feature Analysis and Recognition Based on Reconstructed EEG Sources59 cited
  • 2020Multimodal Affective State Assessment Using fNIRS + EEG and Spontaneous Facial Expression59 cited

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  • 2017Building predictive models of emotion with functional near-infrared spectroscopy49 cited
  • 2023A multi-head residual connection GCN for EEG emotion recognition47 cited
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