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Single-trial EEG emotion recognition using Granger Causality/Transfer Entropy analysis
11 references·3 citing·39 second hop
Single-trial EEG emotion recognition using Granger Causality/Transfer Entropy analysis (2020)Single-trial EEG emotion recognition usin…A Multi-Column CNN Model for Emotion Recognition from EEG Signals (2019)A Multi-Column CNN Model for …Emotion recognition using empirical mode decomposition and approximation entropy (2018)Emotion recognition using emp…Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Data (2017)Using Deep and Convolutional …Emotion recognition based on EEG features in movie clips with channel selection (2017)Emotion recognition based on …Stress Detection Using Wearable Physiological and Sociometric Sensors (2016)Stress Detection Using Wearab…Bispectral Analysis of EEG for Emotion Recognition (2016)Bispectral Analysis of EEG fo…Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Investigating Critical Freque…Evaluation of feature extraction techniques in emotional state recognition (2012)Evaluation of feature extract…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Affective Computing (1997)Affective ComputingA circumplex model of affect. (1980)A circumplex model of affect.Bibliometric Analysis of Granger Causality Studies (2023)Bibliometric Analysis of Gran…Causal Graph Convolutional Neural Network for Emotion Recognition (2022)Causal Graph Convolutional Ne…Tetromino pattern based accurate EEG emotion classification model (2021)Tetromino pattern based accur…A revised version of the psychoticism scale (1985)Personality and Individual Differences (1985)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EmotionMeter: A Multimodal Framework for Recognizing Human Emotions (2018)Measuring emotion: The self-assessment manikin and the semantic differential (1994)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)Toward machine emotional intelligence: analysis of affective physiological state (2001)EEG-Based Emotion Recognition in Music Listening (2010)Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings (2016)A Hybrid Feature Pool-Based Emotional Stress State Detection Algorithm Using EEG Signals (2019)A LSTM based deep learning network for recognizing emotions using wireless brainwave driven system (2021)The Principles of Psychology (1891)Hedges: A Study in Meaning Criteria and the Logic of Fuzzy Concepts (1975)The robust beauty of improper linear models in decision making. (1979)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)Coefficient Alpha and the Internal Structure of Tests (1951)Cognitive Therapy and the Emotional Disorders (1975)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Electrodermal Activity Sensor for Classification of Calm/Distress Condition (2017)Machine Learning Approach for Stress Detection using Wireless Physical Activity Tracker (2018)Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques (2020)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)A Review on EEG Signals Based Emotion Recognition (2017)Ten challenges for EEG-based affective computing (2019)Exploring Deep Learning Features for Automatic Classification of Human Emotion Using EEG Rhythms (2021)Differential entropy feature for EEG-based emotion classification (2013)Feature Extraction and Selection for Emotion Recognition from EEG (2014)Recognizing Emotions Evoked by Music Using CNN-LSTM Networks on EEG Signals (2020)Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM) (2022)Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review (2024)Machines and Mindlessness: Social Responses to Computers (2000)IEMOCAP: interactive emotional dyadic motion capture database (2008)Survey on AI-Based Multimodal Methods for Emotion Detection (2019)Multi-Domain Feature Fusion for Emotion Classification Using DEAP Dataset (2021)PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition (2021)A comparative analysis of machine learning methods for emotion recognition using EEG and peripheral physiological signals (2020)CNN and LSTM based ensemble learning for human emotion recognition using EEG recordings (2022)
this work references cited by second hop

References

  • 1980A circumplex model of affect.16,320 cited
  • 1997Affective Computing7,373 cited
  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2015Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks2,616 cited
  • 2017Using Deep and Convolutional Neural Networks for Accurate Emotion Classification on DEAP Data235 cited
  • 2016Stress Detection Using Wearable Physiological and Sociometric Sensors209 cited
  • 2019A Multi-Column CNN Model for Emotion Recognition from EEG Signals177 cited
  • 2016Bispectral Analysis of EEG for Emotion Recognition137 cited
  • 2017Emotion recognition based on EEG features in movie clips with channel selection137 cited
  • 2012Evaluation of feature extraction techniques in emotional state recognition92 cited
  • 2018Emotion recognition using empirical mode decomposition and approximation entropy83 cited

Cited by

  • 2021Tetromino pattern based accurate EEG emotion classification model73 cited
  • 2022Causal Graph Convolutional Neural Network for Emotion Recognition53 cited
  • 2023Bibliometric Analysis of Granger Causality Studies16 cited

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