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An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare
16 references·0 citing·35 second hop
An Empirical Analysis of Multimodal Affective Computing Approaches for Advancing Emotional Intelligence in Artificial Intelligence for Healthcare (2024)An Empirical Analysis of Multimodal Affec…Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches (2024)Machine Learning for Multimod…Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support (2023)Human–AI collaboration enable…Emotion recognition in EEG signals using deep learning methods: A review (2023)Emotion recognition in EEG si…Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)Human emotion recognition fro…Emotion Recognition from EEG Signals Using Recurrent Neural Networks (2022)Emotion Recognition from EEG …EEG Feature Extraction and Data Augmentation in Emotion Recognition (2022)EEG Feature Extraction and Da…Review of the emotional feature extraction and classification using EEG signals (2021)Review of the emotional featu…Recognition of human emotions using EEG signals: A review (2021)Recognition of human emotions…Expression-EEG Based Collaborative Multimodal Emotion Recognition Using Deep AutoEncoder (2020)Expression-EEG Based Collabor…Emotion Recognition in Valence-Arousal Space from Multi-channel EEG data and Wavelet based Deep Learning Framework (2020)Emotion Recognition in Valenc…EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM (2020)EEG emotion recognition using…EEG based emotion recognition using fusion feature extraction method (2020)EEG based emotion recognition…Comparison of different feature extraction methods for EEG-based emotion recognition (2020)Comparison of different featu…A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals (2020)A comparative analysis of mac…A Channel-Fused Dense Convolutional Network for EEG-Based Emotion Recognition (2020)A Channel-Fused Dense Convolu…Real-Time EEG-Based Emotion Recognition and Its Applications (2011)Real-Time EEG-Based Emotion R…A circumplex model of affect. (1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)International affective picture system (IAPS) : affective ratings of pictures and instruction manual (2005)Real-time EEG-based emotion monitoring using stable features (2015)Accurate EEG-Based Emotion Recognition on Combined Features Using Deep Convolutional Neural Networks (2019)Emotion Recognition From Multi-Channel EEG via Deep Forest (2020)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)Ensemble Machine Learning-Based Affective Computing for Emotion Recognition Using Dual-Decomposed EEG Signals (2021)Classification of Contrasting Discrete Emotional States Indicated by EEG Based Graph Theoretical Network Measures (2022)A revised version of the psychoticism scale (1985)Affective Computing (1997)EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism (2022)Emotion recognition from EEG based on multi-task learning with capsule network and attention mechanism (2022)GANSER: A Self-Supervised Data Augmentation Framework for EEG-Based Emotion Recognition (2022)Approach to an irregular time series on the basis of the fractal theory (1988)Toward machine emotional intelligence: analysis of affective physiological state (2001)Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces (2020)From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications (2025)Emotions Recognition Using EEG Signals: A Survey (2017)Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques (2021)An argument for basic emotions (1992)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)EEG-based emotion recognition using hybrid CNN and LSTM classification (2022)Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review (2024)Approximate entropy as a measure of system complexity. (1991)EEG Channel Correlation Based Model for Emotion Recognition (2021)EEG-based Emotion Recognition via Transformer Neural Architecture Search (2022)AI can help people feel heard, but an AI label diminishes this impact (2024)Mental-LLM (2024)The Opportunities and Risks of Large Language Models in Mental Health (2024)A comprehensive review of deep learning in EEG-based emotion recognition: classifications, trends, and practical implications (2024)ERTNet: an interpretable transformer-based framework for EEG emotion recognition (2024)Artificial Intelligence in Psychiatry: A Review of Biological and Behavioral Data Analyses (2025)
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References

  • 2023Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support498 cited
  • 2020EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM468 cited
  • 2022Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review429 cited
  • 2011Real-Time EEG-Based Emotion Recognition and Its Applications274 cited
  • 2021Recognition of human emotions using EEG signals: A review228 cited
  • 2023Emotion recognition in EEG signals using deep learning methods: A review228 cited
  • 2020Comparison of different feature extraction methods for EEG-based emotion recognition209 cited
  • 2021Review of the emotional feature extraction and classification using EEG signals195 cited
  • 2020A Channel-Fused Dense Convolutional Network for EEG-Based Emotion Recognition167 cited
  • 2020A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals161 cited
  • 2024Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches153 cited
  • 2020Expression-EEG Based Collaborative Multimodal Emotion Recognition Using Deep AutoEncoder122 cited
  • 2022Emotion Recognition from EEG Signals Using Recurrent Neural Networks104 cited
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EEG based emotion recognition using fusion feature extraction method
99 cited
  • 2020Emotion Recognition in Valence-Arousal Space from Multi-channel EEG data and Wavelet based Deep Learning Framework83 cited
  • 2022EEG Feature Extraction and Data Augmentation in Emotion Recognition69 cited
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