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Analysis of physiological for emotion recognition with the IRS model
16 references·7 citing·45 second hop
Analysis of physiological for emotion recognition with the IRS model (2015)Analysis of physiological for emotion rec…Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition (2013)Capturing Complex Spatio-temp…Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals (2012)Detecting Naturalistic Expres…Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty (2011)Emotion Assessment From Physi…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Personality, emotion, and individual differences in physiological responses (2009)Personality, emotion, and ind…Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech (2008)Emotion Recognition through M…Emotion recognition based on physiological changes in music listening (2008)Emotion recognition based on …A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions (2008)A Survey of Affect Recognitio…Real-time classification of evoked emotions using facial feature tracking and physiological responses (2007)Real-time classification of e…Bimodal Emotion Recognition using Speech and Physiological Changes (2007)Bimodal Emotion Recognition u…Bi-modal emotion recognition from expressive face and body gestures (2006)Bi-modal emotion recognition …From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification (2005)From Physiological Signals to…Psychophysiological approaches to the evaluation of psychotherapeutic process and outcome. (2004)Psychophysiological approache…Hidden Markov model-based speech emotion recognition (2003)Hidden Markov model-based spe…Toward machine emotional intelligence: analysis of affective physiological state (2001)Toward machine emotional inte…International Affective Picture System (IAPS): Instruction Manual and Affective Ratings (Tech. Rep. No. A-4) (1999)International Affective Pictu…Emotion Recognition Using Convolutional Neural Network with Selected Statistical Photoplethysmogram Features (2020)Emotion Recognition Using Con…Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework (2020)Emotion Recognition From Mult…DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media (2020)DEAR-MULSEMEDIA: Dataset for …Toward User-Independent Emotion Recognition Using Physiological Signals (2018)Toward User-Independent Emoti…Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework (2018)Recognition of Emotions Using…Emotional expression in psychiatric conditions: New technology for clinicians (2018)Emotional expression in psych…A real-time stress classification system based on arousal analysis of the nervous system by an F-state machine (2017)A real-time stress classifica…A circumplex model of affect. 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(1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Deep Facial Expression Recognition: A Survey (2020)The principles of psychology, Vol I. (1890)The Principles of Psychology (1891)EEG-Based Emotion Recognition in Music Listening (2010)Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)A Review of Emotion Recognition Using Physiological Signals (2018)Manual of Child Psychology (1947)Handbook of Experimental Psychology (1952)Experimental reduction of stress based on ego-defense theory. (1964)Is altruism part of human nature? (1981)A FUNCTIONALIST PERSPECTIVE ON THE NATURE OF EMOTION (1994)Dealing with feeling: A meta-analysis of the effectiveness of strategies derived from the process model of emotion regulation. 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References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2,797 cited
  • 2001Toward machine emotional intelligence: analysis of affective physiological state2,334 cited
  • 1999International Affective Picture System (IAPS): Instruction Manual and Affective Ratings (Tech. Rep. No. A-4)1,664 cited
  • 2008Emotion recognition based on physiological changes in music listening1,085 cited
  • 2003Hidden Markov model-based speech emotion recognition594 cited
  • 2005From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification520 cited
  • 2004Psychophysiological approaches to the evaluation of psychotherapeutic process and outcome.462 cited
  • 2011Emotion Assessment From Physiological Signals for Adaptation of Game Difficulty402 cited
  • 2006Bi-modal emotion recognition from expressive face and body gestures383 cited
  • 2007Real-time classification of evoked emotions using facial feature tracking and physiological responses276 cited
  • 2008Emotion Recognition through Multiple Modalities: Face, Body Gesture, Speech268 cited
  • 2013Capturing Complex Spatio-temporal Relations among Facial Muscles for Facial Expression Recognition157 cited
  • 2007Bimodal Emotion Recognition using Speech and Physiological Changes

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145 cited
  • 2009Personality, emotion, and individual differences in physiological responses136 cited
  • 2012Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals132 cited
  • Cited by

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    • 2018Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework65 cited
    • 2020Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework60 cited
    • 2018Toward User-Independent Emotion Recognition Using Physiological Signals55 cited
    • 2020DEAR-MULSEMEDIA: Dataset for emotion analysis and recognition in response to multiple sensorial media55 cited
    • 2017A real-time stress classification system based on arousal analysis of the nervous system by an F-state machine42 cited