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EEG-based emotion classification using deep belief networks
5 references·16 citing·44 second hop
EEG-based emotion classification using deep belief networks (2014)EEG-based emotion classification using de…Emotional state classification from EEG data using machine learning approach (2013)Emotional state classificatio…Differential entropy feature for EEG-based emotion classification (2013)Differential entropy feature …Multimodal Emotion Recognition in Response to Videos (2011)Multimodal Emotion Recognitio…Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Affect Detection: An Interdis…Emotion classification based on gamma-band EEG (2009)Emotion classification based …Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review (2024)Role of machine learning and …Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model (2022)Transformers for EEG-Based Em…CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings (2022)CNN and LSTM based ensemble l…A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition (2022)A Dual-Branch Dynamic Graph C…EEG-based emotion recognition: Review of commercial EEG devices and machine learning techniques (2021)EEG-based emotion recognition…Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition (2020)Time–Frequency Representation…SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition (2020)SST-EmotionNet: Spatial-Spect…Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network (2020)Multi-channel EEG-based emoti…EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder (2020)EEG-Based Emotion Classificat…Emotion Recognition from Multiband EEG Signals Using CapsNet (2019)Emotion Recognition from Mult…Deep Learning for Human Affect Recognition: Insights and New Developments (2019)Deep Learning for Human Affec…A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition (2019)A snapshot research and imple…A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals (2019)A Review, Current Challenges,…Respiration-based emotion recognition with deep learning (2017)Respiration-based emotion rec…EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes (2017)EEG-Based Emotion Recognition…Multimodal emotion recognition using EEG and eye tracking data (2014)Multimodal emotion recognitio…Emotion recognition in human-computer interaction (2001)Emotions Recognition Using EEG Signals: A Survey (2017)Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2018)A systematic review on affective computing: emotion models, databases, and recent advances (2022)The expression of the emotions in man and animals. (1872)A Coefficient of Agreement for Nominal Scales (1960)Emotion And Adaptation (1991)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)Facial Expression Analysis under Partial Occlusion (2018)A circumplex model of affect. (1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)EEG-based emotion recognition during watching movies (2011)Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Exploring EEG Features in Cross-Subject Emotion Recognition (2018)The nature of emotion: Fundamental questions. (1994)Affective Computing (1997)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)Comparing Recognition Performance and Robustness of Multimodal Deep Learning Models for Multimodal Emotion Recognition (2022)EEG Based Emotion Recognition: A Tutorial and Review (2022)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)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)When computers take the lead: The automation of leadership (2019)Leveraging recent advances in deep learning for audio-Visual emotion recognition (2021)Emotion recognition from unimodal to multimodal analysis: A review (2023)EEG-Based Emotion Recognition in Music Listening (2010)Feature Extraction and Selection for Emotion Recognition from EEG (2014)Emotion recognition based on EEG feature maps through deep learning network (2021)Recognition of human emotions using EEG signals: A review (2021)Investigating EEG-based functional connectivity patterns for multimodal emotion recognition (2022)A Global Measure of Perceived Stress (1983)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)The PHQ-9 (2001)Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare—A Review (2021)Emotion recognition in EEG signals using deep learning methods: A review (2023)Emotion Recognition From EEG Using Higher Order Crossings (2009)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 using hybrid CNN and LSTM classification (2022)
this work references cited by second hop

References

  • 2010Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications1,892 cited
  • 2013Differential entropy feature for EEG-based emotion classification1,215 cited
  • 2013Emotional state classification from EEG data using machine learning approach757 cited
  • 2011Multimodal Emotion Recognition in Response to Videos723 cited
  • 2009Emotion classification based on gamma-band EEG413 cited

Cited by

  • 2019A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals322 cited
  • 2020Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition300 cited
  • 2019Emotion Recognition from Multiband EEG Signals Using CapsNet287 cited
  • 2020EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder260 cited
  • 2019Deep Learning for Human Affect Recognition: Insights and New Developments243 cited
  • 2014Multimodal emotion recognition using EEG and eye tracking data230 cited
  • 2019A snapshot research and implementation of multimodal information fusion for data-driven emotion recognition220 cited
  • 2020Multi-channel EEG-based emotion recognition via a multi-level features guided capsule network220 cited
  • 2022Transformers for EEG-Based Emotion Recognition: A Hierarchical Spatial Information Learning Model

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217 cited
  • 2021EEG-based emotion recognition: Review of commercial EEG devices and machine learning techniques209 cited
  • 2022CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings177 cited
  • 2020SST-EmotionNet: Spatial-Spectral-Temporal based Attention 3D Dense Network for EEG Emotion Recognition166 cited
  • 2017Respiration-based emotion recognition with deep learning152 cited
  • 2024Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review148 cited
  • 2017EEG-Based Emotion Recognition Using Hierarchical Network With Subnetwork Nodes141 cited
  • 2022A Dual-Branch Dynamic Graph Convolution Based Adaptive TransFormer Feature Fusion Network for EEG Emotion Recognition135 cited