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Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition
15 references·0 citing·48 second hop
Comparison of Electrodermal Activity Signal Decomposition Techniques for Emotion Recognition (2024)Comparison of Electrodermal Activity Sign…Sensitive Physiological Indices of Pain Based on Differential Characteristics of Electrodermal Activity (2021)Sensitive Physiological Indic…Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models (2021)Exploration meets exploitatio…An emotion and cognitive based analysis of mental health disorders from social media data (2021)An emotion and cognitive base…Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features (2020)Convolutional neural network …What Basic Emotion Theory Really Says for the Twenty-First Century Study of Emotion (2019)What Basic Emotion Theory Rea…Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal (2019)Employing PCA and t-statistic…A Review of Emotion Recognition Using Physiological Signals (2018)A Review of Emotion Recogniti…Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution (2017)Feature Extraction of Galvani…An efficient automatic workload estimation method based on electrodermal activity using pattern classifier combinations (2016)An efficient automatic worklo…cvxEDA: a Convex Optimization Approach to Electrodermal Activity Processing (2015)cvxEDA: a Convex Optimization…Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics (2014)Revealing Real-Time Emotional…Pleasure, Arousal, Dominance: Mehrabian and Russell revisited (2014)Pleasure, Arousal, Dominance:…DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)DEAP: A Database for Emotion …An argument for basic emotions (1992)An argument for basic emotionsA circumplex model of affect. (1980)A circumplex model of affect.The expression of the emotions in man and animals. 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(1958)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Culture and the Self: Implications for Cognition, Emotion, and Motivation (1991)THE PSYCHOLOGY OF PERSONAL CONSTRUCTS (2010)Lifetime and 12-Month Prevalence of DSM-III-R Psychiatric Disorders in the United States (1994)The PHQ-9 (2001)Recognizing Emotions Induced by Affective Sounds through Heart Rate Variability (2015)Wearable-Based Affect Recognition—A Review (2019)Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare—A Review (2021)II.—WHAT IS AN EMOTION ? (1884)The James-Lange Theory of Emotions: A Critical Examination and an Alternative Theory (1927)Facial emotion recognition using deep learning: review and insights (2020)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)Emotion knowledge: Further exploration of a prototype approach. (1987)Emotion Regulation: Current Status and Future Prospects (2015)Context-aware experience sampling reveals the scale of variation in affective experience (2020)Teacher emotions in the classroom and their implications for students (2021)Theory convergence in emotion science is timely and realistic (2022)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Differential entropy feature for EEG-based emotion classification (2013)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)Can Emotion Be Transferred?—A Review on Transfer Learning for EEG-Based Emotion Recognition (2021)Emotion detection using electroencephalography signals and a zero-time windowing-based epoch estimation and relevant electrode identification (2021)Review on Emotion Recognition Based on Electroencephalography (2021)RoBERTa: A Robustly Optimized BERT Pretraining Approach (2019)A nationwide survey of psychological distress among Chinese people in the COVID‐19 epidemic: implications and policy recommendations (2020)Timely mental health care for the 2019 novel coronavirus outbreak is urgently needed (2020)Deep learning techniques for suicide and depression detection from online social media: A scoping review (2022)Emotion fusion for mental illness detection from social media: A survey (2022)Calibration of Transformer-Based Models for Identifying Stress and Depression in Social Media (2023)Continuous Stress Detection Using Wearable Sensors in Real Life: Algorithmic Programming Contest Case Study (2019)Feature Extraction and Selection for Emotion Recognition from Electrodermal Activity (2019)Stress Detection with Machine Learning and Deep Learning using Multimodal Physiological Data (2020)
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References

  • 1980A circumplex model of affect.17,317 cited
  • 1992An argument for basic emotions10,426 cited
  • 2011DEAP: A Database for Emotion Analysis ;Using Physiological Signals5,082 cited
  • 2018A Review of Emotion Recognition Using Physiological Signals921 cited
  • 2015cvxEDA: a Convex Optimization Approach to Electrodermal Activity Processing605 cited
  • 2014Pleasure, Arousal, Dominance: Mehrabian and Russell revisited414 cited
  • 2014Revealing Real-Time Emotional Responses: a Personalized Assessment based on Heartbeat Dynamics229 cited
  • 2019Employing PCA and t-statistical approach for feature extraction and classification of emotion from multichannel EEG signal175 cited
  • 2019What Basic Emotion Theory Really Says for the Twenty-First Century Study of Emotion170 cited
  • 2021An emotion and cognitive based analysis of mental health disorders from social media data140 cited
  • 2020Convolutional neural network based emotion classification using electrodermal activity signals and time-frequency features103 cited
  • 2017Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution83 cited
  • 2021Sensitive Physiological Indices of Pain Based on Differential Characteristics of Electrodermal Activity72 cited
  • 2021Exploration meets exploitation: Multitask learning for emotion recognition based on discrete and dimensional models

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  • 2016An efficient automatic workload estimation method based on electrodermal activity using pattern classifier combinations43 cited
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