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Recognition of Negative Emotion Using Long Short-Term Memory with Bio-Signal Feature Compression
16 references·1 citing·46 second hopsampled
Recognition of Negative Emotion Using Long Short-Term Memory with Bio-Signal Feature Compression (2020)Recognition of Negative Emotion Using Lon…Emotion Recognition from Physiological Signal Analysis: A Review (2019)Emotion Recognition from Phys…A Review of Emotion Recognition Using Physiological Signals (2018)A Review of Emotion Recogniti…Identifying Stable Patterns over Time for Emotion Recognition from EEG (2017)Identifying Stable Patterns o…PNN for EEG-based Emotion Recognition (2016)PNN for EEG-based Emotion Rec…Heart Rate Variability Signal Features for Emotion Recognition by Using Principal Component Analysis and Support Vectors Machine (2016)Heart Rate Variability Signal…Emotion detection from EEG recordings (2016)Emotion detection from EEG re…Wearable Biomedical Measurement Systems for Assessment of Mental Stress of Combatants in Real Time (2014)Wearable Biomedical Measureme…Emotion Recognition Based on Multi-Variant Correlation of Physiological Signals (2014)Emotion Recognition Based on …The Emotional Movie Database (EMDB): A Self-Report and Psychophysiological Study (2012)The Emotional Movie Database …Emotional State Classification in Patient–Robot Interaction Using Wavelet Analysis and Statistics-Based Feature Selection (2012)Emotional State Classificatio…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 …Emotion Recognition through Physiological Signals for Human-Machine Communication (2010)Emotion Recognition through P…Emotion Theory and Research: Highlights, Unanswered Questions, and Emerging Issues (2008)Emotion Theory and Research: …Age differences in recognition of emotion in lexical stimuli and facial expressions. (2007)Age differences in recognitio…Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables (2006)Stress Detection in Computer …Fusion-based learning for stress recognition in smart home: An IoMT framework (2022)Fusion-based learning for str…Affective Computing (1997)Pupil size variation as an indication of affective processing (2003)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)The Role of Nonlinear Dynamics in Affective Valence and Arousal Recognition (2011)Activity-Aware Mental Stress Detection Using Physiological Sensors (2012)Large-scale wearable data reveal digital phenotypes for daily-life stress detection (2018)A Coefficient of Agreement for Nominal Scales (1960)A new scale of social desirability independent of psychopathology. (1960)Taking time seriously: A theory of socioemotional selectivity. 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(1872)The Selfish Gene (1976)Handbook of Positive Psychology (2001)Emotional Inertia and Psychological Maladjustment (2010)The Many Meanings/Aspects of Emotion: Definitions, Functions, Activation, and Regulation (2010)Foundations of Game-Based Learning (2015)II.—WHAT IS AN EMOTION ? (1884)The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory (1927)A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals (2019)Facial emotion recognition using deep learning: review and insights (2020)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Constants across cultures in the face and emotion. (1971)Emotion Recognition for Everyday Life Using Physiological Signals From Wearables: A Systematic Literature Review (2022)Measuring self-regulated learning and the role of AI: Five years of research using multimodal multichannel data (2022)Emotion recognition in EEG signals using deep learning methods: A review (2023)Measures of emotion: A review (2009)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)EEG Based Emotion Recognition: A Tutorial and Review (2022)Anxiety Level Recognition for Virtual Reality Therapy System Using Physiological Signals (2019)Emotion Classification Based on Biophysical Signals and Machine Learning Techniques (2019)Emotion Recognition Using Different Sensors, Emotion Models, Methods and Datasets: A Comprehensive Review (2023)
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References

  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2008Emotion Theory and Research: Highlights, Unanswered Questions, and Emerging Issues1,214 cited
  • 2017Identifying Stable Patterns over Time for Emotion Recognition from EEG995 cited
  • 2018A Review of Emotion Recognition Using Physiological Signals921 cited
  • 2019Emotion Recognition from Physiological Signal Analysis: A Review562 cited
  • 2011ECG Pattern Analysis for Emotion Detection476 cited
  • 2007Age differences in recognition of emotion in lexical stimuli and facial expressions.328 cited
  • 2006Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables290 cited
  • 2012The Emotional Movie Database (EMDB): A Self-Report and Psychophysiological Study225 cited
  • 2014Emotion Recognition Based on Multi-Variant Correlation of Physiological Signals150 cited
  • 2014Wearable Biomedical Measurement Systems for Assessment of Mental Stress of Combatants in Real Time144 cited
  • 2016Heart Rate Variability Signal Features for Emotion Recognition by Using Principal Component Analysis and Support Vectors Machine123 cited
  • 2012Emotional State Classification in Patient–Robot Interaction Using Wavelet Analysis and Statistics-Based Feature Selection111 cited
  • 2010Emotion Recognition through Physiological Signals for Human-Machine Communication

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109 cited
  • 2016Emotion detection from EEG recordings89 cited
  • 2016PNN for EEG-based Emotion Recognition60 cited
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    • 2022Fusion-based learning for stress recognition in smart home: An IoMT framework31 cited