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Modeling Physiological Data with Deep Belief Networks.
11 references·9 citing·44 second hop
Modeling Physiological Data with Deep Belief Networks. (2013)Modeling Physiological Data with Deep Bel…AffectAura (2012)AffectAuraA survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing (2012)A survey of methods for data …DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Continuous inference of psychological stress from sensory measurements collected in the natural environment (2011)Continuous inference of psych…Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications (2010)Affect Detection: An Interdis…Short-term emotion assessment in a recall paradigm (2009)Short-term emotion assessment…Emotion recognition based on physiological changes in music listening (2008)Emotion recognition based on …A systems approach to appraisal mechanisms in emotion (2005)A systems approach to apprais…Affective computing: challenges (2003)Affective computing: challeng…Measuring Emotion: Behavior, Feeling, and Physiology (1999)Measuring Emotion: Behavior, …The science of emotion: research and tradition in the psychology of emotions (1996)The science of emotion: resea…Subject-independent EEG emotion recognition with hybrid spatio-temporal GRU-Conv architecture (2022)Subject-independent EEG emoti…EEG-based affective state recognition from human brain signals by using Hjorth-activity (2022)EEG-based affective state rec…Emotion Recognition in Valence-Arousal Space from Multi-channel EEG data and Wavelet based Deep Learning Framework (2020)Emotion Recognition in Valenc…Emotion Recognition From Multi-Channel EEG Signals by Exploiting the Deep Belief-Conditional Random Field Framework (2020)Emotion Recognition From Mult…Recognition of Emotions Using Multichannel EEG Data and DBN-GC-Based Ensemble Deep Learning Framework (2018)Recognition of Emotions Using…Arousal and Valence Classification Model Based on Long Short-Term Memory and DEAP Data for Mental Healthcare Management (2018)Arousal and Valence Classific…Deep Convolutional Neural Network for Emotion Recognition Using EEG and Peripheral Physiological Signal (2017)Deep Convolutional Neural Net…Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review (2016)Implicit Analysis of Perceptu…Affective states classification using EEG and semi-supervised deep learning approaches (2016)Affective states classificati…A circumplex model of affect. 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(1997)The Massachusetts Institute of Technology (1999)Smart technologies for long-term stress monitoring at work (2013)Towards Personal Stress Informatics: Comparing Minimally Invasive Techniques for Measuring Daily Stress in the Wild (2014)Toward Emotion Recognition From Physiological Signals in the Wild: Approaching the Methodological Issues in Real-Life Data Collection (2020)The Principles of Psychology (1891)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Daily Stress Recognition from Mobile Phone Data, Weather Conditions and Individual Traits (2014)Detecting Moments of Stress from Measurements of Wearable Physiological Sensors (2019)Wearable-Based Affect Recognition—A Review (2019)The principles of psychology, Vol I. 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References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2010Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications1,892 cited
  • 2008Emotion recognition based on physiological changes in music listening1,085 cited
  • 2003Affective computing: challenges978 cited
  • 1999Measuring Emotion: Behavior, Feeling, and Physiology772 cited
  • 2005A systems approach to appraisal mechanisms in emotion706 cited
  • 2009Short-term emotion assessment in a recall paradigm368 cited
  • 2011Continuous inference of psychological stress from sensory measurements collected in the natural environment245 cited
  • 2012AffectAura242 cited
  • 1996The science of emotion: research and tradition in the psychology of emotions225 cited
  • 2012A survey of methods for data fusion and system adaptation using autonomic nervous system responses in physiological computing163 cited

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  • 2016Affective states classification using EEG and semi-supervised deep learning approaches86 cited
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  • 2020Emotion Recognition in Valence-Arousal Space from Multi-channel EEG data and Wavelet based Deep Learning Framework83 cited

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  • 2017Deep Convolutional Neural Network for Emotion Recognition Using EEG and Peripheral Physiological Signal72 cited
  • 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
  • 2022EEG-based affective state recognition from human brain signals by using Hjorth-activity50 cited
  • 2016Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review50 cited
  • 2018Arousal and Valence Classification Model Based on Long Short-Term Memory and DEAP Data for Mental Healthcare Management47 cited