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Emotion Recognition Based on Multi-Variant Correlation of Physiological Signals
15 references·16 citing·42 second hop
Emotion Recognition Based on Multi-Variant Correlation of Physiological Signals (2014)Emotion Recognition Based on Multi-Varian…ECG Pattern Analysis for Emotion Detection (2011)ECG Pattern Analysis for Emot…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …Survey on speech emotion recognition: Features, classification schemes, and databases (2010)Survey on speech emotion reco…Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach (2008)Toward Emotion Recognition in…Emotion recognition based on physiological changes in music listening (2008)Emotion recognition based on …Real-time classification of evoked emotions using facial feature tracking and physiological responses (2007)Real-time classification of e…Emotion Elicitation Using Films (2007)Emotion Elicitation Using Fil…An empirical study of machine learning techniques for affect recognition in human–robot interaction (2006)An empirical study of machine…From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification (2005)From Physiological Signals to…Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Detecting Stress During Real-…Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals (2004)Using Noninvasive Wearable Co…Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System (2004)Emotion Recognition Using Bio…Emotion recognition system using short-term monitoring of physiological signals (2004)Emotion recognition system us…Toward machine emotional intelligence: analysis of affective physiological state (2001)Toward machine emotional inte…Emotion elicitation using films (1995)Emotion elicitation using fil…Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review (2023)Emotion Recognition Using Dif…Approaches, Applications, and Challenges in Physiological Emotion Recognition—A Tutorial Overview (2023)Approaches, Applications, and…Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion (2022)Evaluating Ensemble Learning …A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States (2022)A Review of AI Cloud and Edge…Toward soft real-time stress detection using wrist-worn devices for human workspaces (2020)Toward soft real-time stress …The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals (2020)The Design of CNN Architectur…Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy (2020)Physiological-signal-based em…Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia (2020)Physiological Sensors Based E…Multiple Instance Learning for Emotion Recognition Using Physiological Signals (2019)Multiple Instance Learning fo…Emotion Classification Based on Biophysical Signals and Machine Learning Techniques (2019)Emotion Classification Based …Anxiety Level Recognition for Virtual Reality Therapy System Using Physiological Signals (2019)Anxiety Level Recognition for…Toward Constructing a Real-time Social Anxiety Evaluation System: Exploring Effective Heart Rate Features (2018)Toward Constructing a Real-ti…A Globally Generalized Emotion Recognition System Involving Different Physiological Signals (2018)A Globally Generalized Emotio…Emotion recognition employing ECG and GSR signals as markers of ANS (2016)Emotion recognition employing…Drowsiness Detection Based on the Analysis of Breathing Rate Obtained from Real-time Image Recognition (2016)Drowsiness Detection Based on…A Survey on Human Emotion Recognition Approaches, Databases and Applications (2015)A Survey on Human Emotion Rec…A circumplex model of affect. (1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Affective Computing (1997)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)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)Attention, intentions, and the structure of discourse (1986)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Emotion recognition in human-computer interaction (2001)Speech emotion recognition using deep neural network and extreme learning machine (2014)A review of affective computing: From unimodal analysis to multimodal fusion (2017)Speech emotion recognition using deep 1D & 2D CNN LSTM networks (2018)The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory (1927)Acoustic profiles in vocal emotion expression. (1996)Measures of emotion: A review (2009)An argument for basic emotions (1992)Continuous Prediction of Spontaneous Affect from Multiple Cues and Modalities in Valence-Arousal Space (2011)Features and classifiers for emotion recognition from speech: a survey from 2000 to 2011 (2012)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)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)Review of personality and social psychology (1983)Positive affect facilitates creative problem solving. (1987)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Hiding feelings: The acute effects of inhibiting negative and positive emotion. (1997)Are Emotions Natural Kinds? (2006)Dealing with feeling: A meta-analysis of the effectiveness of strategies derived from the process model of emotion regulation. (2012)Coefficient Alpha and the Internal Structure of Tests (1951)Inferring psychological significance from physiological signals. (1990)Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Emotion recognition using wireless signals (2016)Recognition of emotions using multimodal physiological signals and an ensemble deep learning model (2016)Self-Supervised ECG Representation Learning for Emotion Recognition (2020)Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge (2011)Review on Psychological Stress Detection Using Biosignals (2019)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)Assessing the effectiveness of a large database of emotion-eliciting films: A new tool for emotion researchers (2009)Caring about carelessness: Participant inattention and its effects on research (2013)Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013)
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References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2001Toward machine emotional intelligence: analysis of affective physiological state2,334 cited
  • 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors2,205 cited
  • 1995Emotion elicitation using films2,179 cited
  • 2010Survey on speech emotion recognition: Features, classification schemes, and databases2,076 cited
  • 2008Emotion recognition based on physiological changes in music listening1,085 cited
  • 2004Emotion recognition system using short-term monitoring of physiological signals942 cited
  • 2007Emotion Elicitation Using Films860 cited
  • 2005From Physiological Signals to Emotions: Implementing and Comparing Selected Methods for Feature Extraction and Classification520 cited
  • 2011ECG Pattern Analysis for Emotion Detection476 cited
  • 2004Emotion Recognition Using Bio-sensors: First Steps towards an Automatic System451 cited
  • 2004Using Noninvasive Wearable Computers to Recognize Human Emotions from Physiological Signals433 cited
  • 2008Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach335 cited
  • 2006An empirical study of machine learning techniques for affect recognition in human–robot interaction313 cited

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  • 2007Real-time classification of evoked emotions using facial feature tracking and physiological responses276 cited
  • Cited by

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    • 2020Physiological Sensors Based Emotion Recognition While Experiencing Tactile Enhanced Multimedia88 cited
    • 2020Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy78 cited
    • 2023Approaches, Applications, and Challenges in Physiological Emotion Recognition—A Tutorial Overview75 cited
    • 2015A Survey on Human Emotion Recognition Approaches, Databases and Applications73 cited
    • 2018Toward Constructing a Real-time Social Anxiety Evaluation System: Exploring Effective Heart Rate Features72 cited
    • 2022Evaluating Ensemble Learning Methods for Multi-Modal Emotion Recognition Using Sensor Data Fusion68 cited
    • 2016Drowsiness Detection Based on the Analysis of Breathing Rate Obtained from Real-time Image Recognition64 cited
    • 2016Emotion recognition employing ECG and GSR signals as markers of ANS64 cited
    • 2022A Review of AI Cloud and Edge Sensors, Methods, and Applications for the Recognition of Emotional, Affective and Physiological States63 cited
    • 2020The Design of CNN Architectures for Optimal Six Basic Emotion Classification Using Multiple Physiological Signals59 cited
    • 2019Multiple Instance Learning for Emotion Recognition Using Physiological Signals58 cited
    • 2020Toward soft real-time stress detection using wrist-worn devices for human workspaces51 cited
    • 2018A Globally Generalized Emotion Recognition System Involving Different Physiological Signals49 cited