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EEG-Based Emotion Recognition Using Statistical Measures and Auto-Regressive Modeling
11 references·8 citing·53 second hopsampled
EEG-Based Emotion Recognition Using Statistical Measures and Auto-Regressive Modeling (2015)EEG-Based Emotion Recognition Using Stati…A Review on the Computational Methods for Emotional State Estimation from the Human EEG (2013)A Review on the Computational…Asymmetric Spatial Pattern for EEG-based emotion detection (2012)Asymmetric Spatial Pattern fo…Emotion recognition method using entropy analysis of EEG signals (2011)Emotion recognition method us…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …A FRACTAL-BASED ALGORITHM OF EMOTION RECOGNITION FROM EEG USING AROUSAL-VALENCE MODEL (2011)A FRACTAL-BASED ALGORITHM OF …Classification of human emotion from EEG using discrete wavelet transform (2010)Classification of human emoti…Emotion recognition using EEG signals with relative power values and Bayesian network (2009)Emotion recognition using EEG…Emotion Recognition From EEG Using Higher Order Crossings (2009)Emotion Recognition From EEG …Emotion classification based on gamma-band EEG (2009)Emotion classification based …EEG-based emotion recognition in music listening: A comparison of schemes for multiclass support vector machine (2009)EEG-based emotion recognition…EEG evidence for mirror neuron activity during the observation of human and robot actions: Toward an analysis of the human qualities of interactive robots (2007)EEG evidence for mirror neuro…Machine learning model for mapping of music mood and human emotion based on physiological signals (2022)Machine learning model for ma…EEG-based emotion analysis using non-linear features and ensemble learning approaches (2022)EEG-based emotion analysis us…CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis (2022)CNN-XGBoost fusion-based affe…Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy (2020)Physiological-signal-based em…Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier (2019)Recognition of emotional stat…Emotion detection from EEG recordings based on supervised and unsupervised dimension reduction (2018)Emotion detection from EEG re…EEG-based classification of emotions using empirical mode decomposition and autoregressive model (2018)EEG-based classification of e…Identifying valence and arousal levels via connectivity between EEG channels (2015)Identifying valence and arous…I.—COMPUTING MACHINERY AND INTELLIGENCE (1950)Action recognition in the premotor cortex (1996)Computing Machinery and Intelligence (1950) (2004)Programmed to learn? The ontogeny of mirror neurons (2008)The Two-Level Theory of verb meaning: An approach to integrating the semantics of action with the mirror neuron system (2008)Inter-brain synchronization during coordination of speech rhythm in human-to-human social interaction (2013)A circumplex model of affect. (1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Core affect and the psychological construction of emotion. (2003)What are emotions? And how can they be measured? (2005)Measures of emotion: A review (2009)Human emotion recognition and analysis in response to audio music using brain signals (2016)Wearable-Based Affect Recognition—A Review (2019)EEG-Based BCI Emotion Recognition: A Survey (2020)Nebraska Symposium on Motivation, 1969. (1971)MEASURES OF EMOTION (1989)EMOTION: Theory, Research, and Experience (1990)Classification of emotions induced by music videos and correlation with participants’ rating (2014)Relevance vector classifier decision fusion and EEG graph-theoretic features for automatic affective state characterization (2015)Hierarchical Dynamic Graph Convolutional Network With Interpretability for EEG-Based Emotion Recognition (2022)Memory span: Sources of individual and developmental differences. (1981)Emotion elicitation using films (1995)What is ‘neuromarketing’? A discussion and agenda for future research (2006)Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms (2021)EEG-based emotion recognition using multi-scale dynamic CNN and gated transformer (2024)EmT: A Novel Transformer for Generalized Cross-Subject EEG Emotion Recognition (2025)Emotion recognition in human-computer interaction (2001)Emotion recognition based on physiological changes in music listening (2008)Classifying Different Emotional States by Means of EEG-Based Functional Connectivity Patterns (2014)Emotion Recognition from Multiband EEG Signals Using CapsNet (2019)Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition (2020)Emotion And Adaptation (1991)EEG-based emotion recognition during watching movies (2011)EEG-based emotion classification using deep belief networks (2014)Exploring EEG Features in Cross-Subject Emotion Recognition (2018)An argument for basic emotions (1992)Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals (2006)Valence, arousal and dominance in the EEG during game play (2012)Classification of human emotions from EEG signals using SVM and LDA Classifiers (2015)Emotional Intelligence (1990)THE MIRROR-NEURON SYSTEM (2004)Spatial–Temporal Recurrent Neural Network for Emotion Recognition (2018)EEG emotion recognition using fusion model of graph convolutional neural networks and LSTM (2020)Human emotion recognition from EEG-based brain–computer interface using machine learning: a comprehensive review (2022)Affective space is bipolar. (1979)Approach to an irregular time series on the basis of the fractal theory (1988)Real-Time Subject-Dependent EEG-Based Emotion Recognition Algorithm (2014)Emotion Recognition Based on High-Resolution EEG Recordings and Reconstructed Brain Sources (2017)Music mood and human emotion recognition based on physiological signals: a systematic review (2021)
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References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2009Emotion Recognition From EEG Using Higher Order Crossings687 cited
  • 2010Classification of human emotion from EEG using discrete wavelet transform436 cited
  • 2009Emotion classification based on gamma-band EEG413 cited
  • 2013A Review on the Computational Methods for Emotional State Estimation from the Human EEG294 cited
  • 2007EEG evidence for mirror neuron activity during the observation of human and robot actions: Toward an analysis of the human qualities of interactive robots241 cited
  • 2009EEG-based emotion recognition in music listening: A comparison of schemes for multiclass support vector machine152 cited
  • 2009Emotion recognition using EEG signals with relative power values and Bayesian network138 cited
  • 2011A FRACTAL-BASED ALGORITHM OF EMOTION RECOGNITION FROM EEG USING AROUSAL-VALENCE MODEL133 cited
  • 2012Asymmetric Spatial Pattern for EEG-based emotion detection107 cited
  • 2011Emotion recognition method using entropy analysis of EEG signals90 cited

Cited by

  • 2018EEG-based classification of emotions using empirical mode decomposition and autoregressive model85 cited
  • 2022CNN-XGBoost fusion-based affective state recognition using EEG spectrogram image analysis82 cited
  • 2020

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Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy
78 cited
  • 2015Identifying valence and arousal levels via connectivity between EEG channels67 cited
  • 2018Emotion detection from EEG recordings based on supervised and unsupervised dimension reduction60 cited
  • 2019Recognition of emotional states using EEG signals based on time-frequency analysis and SVM classifier59 cited
  • 2022EEG-based emotion analysis using non-linear features and ensemble learning approaches55 cited
  • 2022Machine learning model for mapping of music mood and human emotion based on physiological signals53 cited