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Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality
15 references·0 citing·39 second hop
Simplifying Multimodal Emotion Recognition with Single Eye Movement Modality (2021)Simplifying Multimodal Emotion Recognitio…Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition (2019)Multisource Transfer Learning…Context-Aware Emotion Recognition Networks (2019)Context-Aware Emotion Recogni…Classification of Five Emotions from EEG and Eye Movement Signals: Discrimination Ability and Stability over Time (2019)Classification of Five Emotio…EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)EmotionMeter: A Multimodal Fr…EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EEG Emotion Recognition Using…Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)Identifying Stable Patterns o…Emotions Recognition Using EEG Signals: A Survey (2017)Emotions Recognition Using EE…Emotion Recognition Using Multimodal Deep Learning (2016)Emotion Recognition Using Mul…Combining eye movements and EEG to enhance emotion recognition (2015)Combining eye movements and E…Speech Emotion Recognition Using CNN (2014)Speech Emotion Recognition Us…Multimodal emotion recognition using EEG and eye tracking data (2014)Multimodal emotion recognitio…Differential entropy feature for EEG-based emotion classification (2013)Differential entropy feature …Multimodal Emotion Recognition in Response to Videos (2011)Multimodal Emotion Recognitio…Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…Analysis of emotion recognition using facial expressions, speech and multimodal information (2004)Analysis of emotion recogniti…Emotion recognition in human-computer interaction (2001)Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2018)A systematic review on affective computing: emotion models, databases, and recent advances (2022)A database of German emotional speech (2005)The Singularity is Near (2014)Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network (2019)A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism (2021)Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Speech emotion recognition using deep neural network and extreme learning machine (2014)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)Toward detecting emotions in spoken dialogs (2005)Emotion Recognition From EEG Using Higher Order Crossings (2009)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Speech emotion recognition: Emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers (2019)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)The Cognitive Structure of Emotions (1988)A Review and Meta-Analysis of Multimodal Affect Detection Systems (2015)Analysis of EEG Signals and Facial Expressions for Continuous Emotion Detection (2015)Human Emotion Recognition: Review of Sensors and Methods (2020)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)International affective picture system (IAPS) : affective ratings of pictures and instruction manual (2005)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)Mechanism Design via Differential Privacy (2007)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)A Review of Emotion Recognition Using Physiological Signals (2018)Measures of emotion: A review (2009)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)EEG Based Emotion Recognition: A Tutorial and Review (2022)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Emotion Recognition From Multimodal Physiological Signals Using a Regularized Deep Fusion of Kernel Machine (2020)MS-MDA: Multisource Marginal Distribution Adaptation for Cross-Subject and Cross-Session EEG Emotion Recognition (2021)Contrastive Learning of Subject-Invariant EEG Representations for Cross-Subject Emotion Recognition (2022)
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References

  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2018EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks1,605 cited
  • 2018EmotionMeter: A Multimodal Framework for Recognizing Human Emotions1,274 cited
  • 2013Differential entropy feature for EEG-based emotion classification1,215 cited
  • 2017Emotions Recognition Using EEG Signals: A Survey1,199 cited
  • 2017Identifying Stable Patterns over Time for Emotion Recognition from EEG995 cited
  • 2004Analysis of emotion recognition using facial expressions, speech and multimodal information842 cited
  • 2011Multimodal Emotion Recognition in Response to Videos723 cited
  • 2014Speech Emotion Recognition Using CNN416 cited
  • 2019Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition355 cited
  • 2019Context-Aware Emotion Recognition Networks323 cited
  • 2016Emotion Recognition Using Multimodal Deep Learning301 cited
  • 2014Multimodal emotion recognition using EEG and eye tracking data230 cited
  • 2015Combining eye movements and EEG to enhance emotion recognition185 cited
  • 2019Classification of Five Emotions from EEG and Eye Movement Signals: Discrimination Ability and Stability over Time

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