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The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals
15 references·6 citing·45 second hopsampled
The Emotion Recognition System Based on Autoregressive Model and Sequential Forward Feature Selection of Electroencephalogram Signals (2014)The Emotion Recognition System Based on A…EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm (2013)EEG-based emotion estimation …Evaluation of feature extraction techniques in emotional state recognition (2012)Evaluation of feature extract…Affective classification using Bayesian classifier and supervised learning (2012)Affective classification usin…Multimodal Emotion Recognition in Response to Videos (2011)Multimodal Emotion Recognitio…EEG-based emotion recognition during watching movies (2011)EEG-based emotion recognition…A Novel Emotion Elicitation Index Using Frontal Brain Asymmetry for Enhanced EEG-Based Emotion Recognition (2011)A Novel Emotion Elicitation I…Classification of human emotion from EEG using discrete wavelet transform (2010)Classification of human emoti…Affective Computing: From Laughter to IEEE (2010)Affective Computing: From Lau…Towards an EEG-based emotion recognizer for humanoid robots (2009)Towards an EEG-based emotion …Emotion recognition from physiological signals using wireless sensors for presence technologies (2004)Emotion recognition from phys…Toward machine emotional intelligence: analysis of affective physiological state (2001)Toward machine emotional inte…Emotion recognition in human-computer interaction (2001)Emotion recognition in human-…Measuring emotion: The self-assessment manikin and the semantic differential (1994)Measuring emotion: The self-a…Inferring psychological significance from physiological signals. (1990)Inferring psychological signi…A circumplex model of affect. (1980)A circumplex model of affect.Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network (2022)Depression Assessment Method:…A Novel Approach for EEG Electrode Selection in Automated Emotion Recognition Based on Lagged Poincare’s Indices and sLORETA (2019)A Novel Approach for EEG Elec…A EEG-based emotion recognition model with rhythm and time characteristics (2019)A EEG-based emotion recogniti…Classification of EEG-based emotion for BCI applications (2017)Classification of EEG-based e…CNN Based Subject-Independent Driver Emotion Recognition System Involving Physiological Signals for ADAS (2016)CNN Based Subject-Independent…Machine Learning to Differentiate Between Positive and Negative Emotions Using Pupil Diameter (2015)Machine Learning to Different…The Passions: Emotions and the Meaning of Life (1976)A Linguistic Analysis of Chat Reference Conversations with 18–24 Year-Old College Students (2008)Emotions and Affect in Human Factors and Human–Computer Interaction: Taxonomy, Theories, Approaches, and Methods (2017)Relation-aware Graph Attention Networks with Relational Position Encodings for Emotion Recognition in Conversations (2020)Conversational emotion recognition studies based on graph convolutional neural networks and a dependent syntactic analysis (2022)The expression of the emotions in man and animals. (1872)Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research (1975)Emotion And Adaptation (1991)Survey on speech emotion recognition: Features, classification schemes, and databases (2010)The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English (2018)The Principles of Psychology (1891)Handbook of Experimental Psychology (1952)The Handbook of Social Psychology (1969)Dispositional differences in cognitive motivation: The life and times of individuals varying in need for cognition. (1996)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)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)A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)Real-Time Movie-Induced Discrete Emotion Recognition from EEG Signals (2017)Human emotion recognition using deep belief network architecture (2018)An Efficient LSTM Network for Emotion Recognition From Multichannel EEG Signals (2020)The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory (1927)Acoustic profiles in vocal emotion expression. (1996)Affective Computing (1997)Measures of emotion: A review (2009)Emotion elicitation using films (1995)Toward an integrative theory of training motivation: A meta-analytic path analysis of 20 years of research. (2000)An empirical study of machine learning techniques for affect recognition in human–robot interaction (2006)Physiological signals based human emotion Recognition: a review (2011)EEG-Based Emotion Recognition: A State-of-the-Art Review of Current Trends and Opportunities (2020)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)The nature and measurement of meaning. (1952)The Measurement of Meaning (1957)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017)
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References

  • 1980A circumplex model of affect.16,320 cited
  • 1994Measuring emotion: The self-assessment manikin and the semantic differential9,531 cited
  • 2001Emotion recognition in human-computer interaction2,601 cited
  • 2001Toward machine emotional intelligence: analysis of affective physiological state2,334 cited
  • 2011Multimodal Emotion Recognition in Response to Videos723 cited
  • 1990Inferring psychological significance from physiological signals.635 cited
  • 2010Classification of human emotion from EEG using discrete wavelet transform436 cited
  • 2011EEG-based emotion recognition during watching movies375 cited
  • 2004Emotion recognition from physiological signals using wireless sensors for presence technologies369 cited
  • 2010Affective Computing: From Laughter to IEEE267 cited
  • 2011A Novel Emotion Elicitation Index Using Frontal Brain Asymmetry for Enhanced EEG-Based Emotion Recognition226 cited
  • 2013EEG-based emotion estimation using Bayesian weighted-log-posterior function and perceptron convergence algorithm184 cited
  • 2012Evaluation of feature extraction techniques in emotional state recognition92 cited
  • 2009Towards an EEG-based emotion recognizer for humanoid robots77 cited
  • 2012

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Affective classification using Bayesian classifier and supervised learning
75 cited

Cited by

  • 2022Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network60 cited
  • 2017Classification of EEG-based emotion for BCI applications49 cited
  • 2019A Novel Approach for EEG Electrode Selection in Automated Emotion Recognition Based on Lagged Poincare’s Indices and sLORETA48 cited
  • 2015Machine Learning to Differentiate Between Positive and Negative Emotions Using Pupil Diameter44 cited
  • 2019A EEG-based emotion recognition model with rhythm and time characteristics44 cited
  • 2016CNN Based Subject-Independent Driver Emotion Recognition System Involving Physiological Signals for ADAS43 cited