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TSception:A Deep Learning Framework for Emotion Detection Using EEG
11 references·6 citing·46 second hop
TSception:A Deep Learning Framework for Emotion Detection Using EEG (2020)TSception:A Deep Learning Framework for E…EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations (2019)EEG Based Emotion Recognition…Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Speech emotion recognition us…Exploring EEG Features in Cross-Subject Emotion Recognition (2018)Exploring EEG Features in Cro…A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition (2018)A Bi-Hemisphere Domain Advers…Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)Identifying Stable Patterns o…Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Hierarchical Convolutional Ne…Emotions Recognition Using EEG Signals: A Survey (2017)Emotions Recognition Using EE…EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes (2017)EEG-Based Emotion Recognition…Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers (2015)Improving BCI-based emotion r…Memory reconsolidation, emotional arousal, and the process of change in psychotherapy: New insights from brain science (2014)Memory reconsolidation, emoti…Effects of different scenarios of game difficulty on player immersion (2009)Effects of different scenario…A Comprehensive Survey on Affective Computing: Challenges, Trends, Applications, and Future Directions (2024)A Comprehensive Survey on Aff…STGATE: Spatial-temporal graph attention network with a transformer encoder for EEG-based emotion recognition (2023)STGATE: Spatial-temporal grap…GLFANet: A global to local feature aggregation network for EEG emotion recognition (2023)GLFANet: A global to local fe…Semi-supervised EEG emotion recognition model based on enhanced graph fusion and GCN (2022)Semi-supervised EEG emotion r…LSDD-EEGNet: An efficient end-to-end framework for EEG-based depression detection (2022)LSDD-EEGNet: An efficient end…A Feature-Fused Convolutional Neural Network for Emotion Recognition From Multichannel EEG Signals (2022)A Feature-Fused Convolutional…The expression of the emotions in man and animals. 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References

  • 2017Emotions Recognition Using EEG Signals: A Survey1,199 cited
  • 2018Speech emotion recognition using deep 1D & 2D CNN LSTM networks1,044 cited
  • 2017Identifying Stable Patterns over Time for Emotion Recognition from EEG995 cited
  • 2014Memory reconsolidation, emotional arousal, and the process of change in psychotherapy: New insights from brain science555 cited
  • 2015Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers506 cited
  • 2019EEG Based Emotion Recognition by Combining Functional Connectivity Network and Local Activations396 cited
  • 2018A Bi-Hemisphere Domain Adversarial Neural Network Model for EEG Emotion Recognition391 cited
  • 2018Exploring EEG Features in Cross-Subject Emotion Recognition370 cited
  • 2017Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition337 cited
  • 2017EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes141 cited
  • 2009Effects of different scenarios of game difficulty on player immersion107 cited

Cited by

  • 2023GLFANet: A global to local feature aggregation network for EEG emotion recognition116 cited
  • 2022LSDD-EEGNet: An efficient end-to-end framework for EEG-based depression detection79 cited
  • 2023STGATE: Spatial-temporal graph attention network with a transformer encoder for EEG-based emotion recognition

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75 cited
  • 2024A Comprehensive Survey on Affective Computing: Challenges, Trends, Applications, and Future Directions67 cited
  • 2022A Feature-Fused Convolutional Neural Network for Emotion Recognition From Multichannel EEG Signals42 cited
  • 2022Semi-supervised EEG emotion recognition model based on enhanced graph fusion and GCN39 cited