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Emotion recognition from EEG signals by using multivariate empirical mode decomposition
7 references·16 citing·43 second hop
Emotion recognition from EEG signals by using multivariate empirical mode decomposition (2016)Emotion recognition from EEG signals by u…EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation (2014)EEG-Based Emotion Recognition…Emotional state classification from EEG data using machine learning approach (2013)Emotional state classificatio…Multimodal Emotion Recognition in Response to Videos (2011)Multimodal Emotion Recognitio…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …EEG-Based Emotion Recognition in Music Listening (2010)EEG-Based Emotion Recognition…Observations: SAM: The Self-Assessment Manikin An Efficient Cross-Cultural Measurement Of Emotional Response 1 (1995)Observations: SAM: The Self-A…A circumplex model of affect. (1980)A circumplex model of affect.Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review (2024)Role of machine learning and …Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM) (2022)Deep Learning-Based Approach …Automated emotion recognition: Current trends and future perspectives (2022)Automated emotion recognition…Human emotion recognition based on time–frequency analysis of multivariate EEG signal (2021)Human emotion recognition bas…Emotion detection using electroencephalography signals and a zero-time windowing-based epoch estimation and relevant electrode identification (2021)Emotion detection using elect…Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot (2020)Emotion recognition from EEG …Comparison of different feature extraction methods for EEG-based emotion recognition (2020)Comparison of different featu…A Novel Multivariate-Multiscale Approach for Computing EEG Spectral and Temporal Complexity for Human Emotion Recognition (2020)A Novel Multivariate-Multisca…Subject independent emotion recognition from EEG using VMD and deep learning (2019)Subject independent emotion r…Learning CNN features from DE features for EEG-based emotion recognition (2019)Learning CNN features from DE…Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble (2019)Internal Emotion Classificati…Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network (2019)Fast Emotion Recognition Base…A survey of machine learning techniques in physiology based mental stress detection systems (2019)A survey of machine learning …A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition (2019)A Review on Nonlinear Methods…A Multi-Column CNN Model for Emotion Recognition from EEG Signals (2019)A Multi-Column CNN Model for …Emotion recognition from multichannel EEG signals using K-nearest neighbor classification (2018)Emotion recognition from mult…Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)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)Toward machine emotional intelligence: analysis of affective physiological state (2001)Emotion recognition based on physiological changes in music listening (2008)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)A Review of Emotion Recognition Using Physiological Signals (2018)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)The nature of emotion: Fundamental questions. (1994)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)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)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)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)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)Recognition of emotions using multimodal physiological signals and an ensemble deep learning model (2016)Hierarchical Convolutional Neural Networks for EEG-Based Emotion Recognition (2017)Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals (2017)Evidence for a three-factor theory of emotions (1977)The Varieties of Consumption Experience: Comparing Two Typologies of Emotion in Consumer Behavior (1986)Assessing the Role of Emotions as Mediators of Consumer Responses to Advertising (1987)Emotion Assessment: Arousal Evaluation Using EEG’s and Peripheral Physiological Signals (2006)Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty (2011)Learning deep physiological models of affect (2013)Improving BCI-based emotion recognition by combining EEG feature selection and kernel classifiers (2015)Recognition of human emotions using EEG signals: A review (2021)Emotion and Decision Making (2014)Cross-Subject Multimodal Emotion Recognition Based on Hybrid Fusion (2020)Emotion Recognition From EEG Signal Focusing on Deep Learning and Shallow Learning Techniques (2021)EEG emotion recognition based on the attention mechanism and pre-trained convolution capsule network (2023)Approach to an irregular time series on the basis of the fractal theory (1988)Advances in Multimodal Emotion Recognition Based on Brain–Computer Interfaces (2020)Review of the emotional feature extraction and classification using EEG signals (2021)From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications (2025)
this work references cited by second hop

References

  • 1980A circumplex model of affect.16,320 cited
  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2010EEG-Based Emotion Recognition in Music Listening1,023 cited
  • 2013Emotional state classification from EEG data using machine learning approach757 cited
  • 2011Multimodal Emotion Recognition in Response to Videos723 cited
  • 2014EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation486 cited
  • 1995Observations: SAM: The Self-Assessment Manikin An Efficient Cross-Cultural Measurement Of Emotional Response 1436 cited

Cited by

  • 2018Emotion recognition from multichannel EEG signals using K-nearest neighbor classification230 cited
  • 2019Subject independent emotion recognition from EEG using VMD and deep learning212 cited
  • 2020Comparison of different feature extraction methods for EEG-based emotion recognition209 cited
  • 2019A survey of machine learning techniques in physiology based mental stress detection systems208 cited
  • 2019A Multi-Column CNN Model for Emotion Recognition from EEG Signals177 cited
  • 2022Automated emotion recognition: Current trends and future perspectives172 cited
  • 2019Learning CNN features from DE features for EEG-based emotion recognition

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165 cited
  • 2024Role of machine learning and deep learning techniques in EEG-based BCI emotion recognition system: a review148 cited
  • 2022Deep Learning-Based Approach for Emotion Recognition Using Electroencephalography (EEG) Signals Using Bi-Directional Long Short-Term Memory (Bi-LSTM)142 cited
  • 2021Emotion detection using electroencephalography signals and a zero-time windowing-based epoch estimation and relevant electrode identification140 cited
  • 2019A Review on Nonlinear Methods Using Electroencephalographic Recordings for Emotion Recognition134 cited
  • 2020Emotion recognition from EEG signals using empirical mode decomposition and second-order difference plot130 cited
  • 2020A Novel Multivariate-Multiscale Approach for Computing EEG Spectral and Temporal Complexity for Human Emotion Recognition121 cited
  • 2019Internal Emotion Classification Using EEG Signal With Sparse Discriminative Ensemble118 cited
  • 2021Human emotion recognition based on time–frequency analysis of multivariate EEG signal116 cited
  • 2019Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network115 cited