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Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNet
8 references·3 citing·42 second hop
Cross-Subject Emotion Recognition Brain–Computer Interface Based on fNIRS and DBJNet (2023)Cross-Subject Emotion Recognition Brain–C…TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition (2022)TSception: Capturing Temporal…Investigating EEG-based functional connectivity patterns for multimodal emotion recognition (2022)Investigating EEG-based funct…Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM (2019)Spontaneous Speech Emotion Re…fNIRS Evidence for Recognizably Different Positive Emotions (2019)fNIRS Evidence for Recognizab…EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)EmotionMeter: A Multimodal Fr…Automatic detection of a prefrontal cortical response to emotionally rated music using multi-channel near-infrared spectroscopy (2012)Automatic detection of a pref…Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Affect Detection: An Interdis…A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition (2024)EEGMatch: Learning With Incom…EEG–fNIRS-Based Emotion Recognition Using Graph Convolution and Capsule Attention Network (2024)EEG–fNIRS-Based Emotion Recog…A bidirectional cross-modal transformer representation learning model for EEG-fNIRS multimodal affective BCI (2024)A bidirectional cross-modal t…A circumplex model of affect. (1980)Emotion And Adaptation (1991)Affective Computing (1997)Intersession Instability in fNIRS-Based Emotion Recognition (2018)Continuous emotion recognition during music listening using EEG signals: A fuzzy parallel cascades model (2020)Proposing a convolutional neural network for stress assessment by means of derived heart rate from functional near infrared spectroscopy (2020)The expression of the emotions in man and animals. (1872)A Coefficient of Agreement for Nominal Scales (1960)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)Facial Expression Analysis under Partial Occlusion (2018)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Deep Facial Expression Recognition: A Survey (2020)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)Emotion recognition in human-computer interaction (2001)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)The Geneva Minimalistic Acoustic Parameter Set (GeMAPS) for Voice Research and Affective Computing (2015)A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)A review of multimodal emotion recognition from datasets, preprocessing, features, and fusion methods (2023)Deep learning-based EEG emotion recognition: Current trends and future perspectives (2023)A revised version of the psychoticism scale (1985)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition (2021)EEG-Based Emotion Recognition Using Spatial-Temporal Graph Convolutional LSTM With Attention Mechanism (2022)Multimodal Emotion Recognition with Deep Learning: Advancements, challenges, and future directions (2023)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Emotions Recognition Using EEG Signals: A Survey (2017)Effective Emotion Recognition by Learning Discriminative Graph Topologies in EEG Brain Networks (2023)Light-weight residual convolution-based capsule network for EEG emotion recognition (2024)EmT: A Novel Transformer for Generalized Cross-Subject EEG Emotion Recognition (2025)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)Cross-Subject EEG Emotion Recognition Based on Interconnected Dynamic Domain Adaptation (2024)DISD-Net: A Dynamic Interactive Network With Self-Distillation for Cross-Subject Multi-Modal Emotion Recognition (2025)Toward machine emotional intelligence: analysis of affective physiological state (2001)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)EEG Based Emotion Recognition: A Tutorial and Review (2022)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)
this work references cited by second hop

References

  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
  • 2010Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications1,892 cited
  • 2018EmotionMeter: A Multimodal Framework for Recognizing Human Emotions1,274 cited
  • 2022TSception: Capturing Temporal Dynamics and Spatial Asymmetry From EEG for Emotion Recognition440 cited
  • 2022Investigating EEG-based functional connectivity patterns for multimodal emotion recognition238 cited
  • 2019Spontaneous Speech Emotion Recognition Using Multiscale Deep Convolutional LSTM154 cited
  • 2019fNIRS Evidence for Recognizably Different Positive Emotions133 cited
  • 2012Automatic detection of a prefrontal cortical response to emotionally rated music using multi-channel near-infrared spectroscopy86 cited

Cited by

  • 2024EEGMatch: Learning With Incomplete Labels for Semisupervised EEG-Based Cross-Subject Emotion Recognition42 cited
  • 2024A bidirectional cross-modal transformer representation learning model for EEG-fNIRS multimodal affective BCI35 cited
  • 2024EEG–fNIRS-Based Emotion Recognition Using Graph Convolution and Capsule Attention Network32 cited

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