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A State-Space Approach for Detecting Stress from Electrodermal Activity
6 references·3 citing·35 second hop
A State-Space Approach for Detecting Stress from Electrodermal Activity (2018)A State-Space Approach for Detecting Stre…A Non-EEG Biosignals Dataset for Assessment and Visualization of Neurological Status (2016)A Non-EEG Biosignals Dataset …cvxEDA: a Convex Optimization Approach to Electrodermal Activity Processing (2015)cvxEDA: a Convex Optimization…Stress Recognition Using Wearable Sensors and Mobile Phones (2013)Stress Recognition Using Wear…Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors (2011)Development and Evaluation of…Discriminating Stress From Cognitive Load Using a Wearable EDA Device (2009)Discriminating Stress From Co…Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Detecting Stress During Real-…Identification of Sympathetic Nervous System Activation From Skin Conductance: A Sparse Decomposition Approach With Physiological Priors (2020)Identification of Sympathetic…A Marked Point Process Filtering Approach for Tracking Sympathetic Arousal From Skin Conductance (2020)A Marked Point Process Filter…A Bayesian Filtering Approach for Tracking Arousal From Binary and Continuous Skin Conductance Features (2019)A Bayesian Filtering Approach…The social readjustment rating scale (1967)A Global Measure of Perceived Stress (1983)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)Towards an automatic early stress recognition system for office environments based on multimodal measurements: A review (2015)Stress detection in daily life scenarios using smart phones and wearable sensors: A survey (2019)A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques (2021)Health Behavior and Health Education: Theory, Research, and Practice (1992)A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies (2007)Emotion recognition based on physiological changes in music listening (2008)Wearable-Based Affect Recognition—A Review (2019)Stress detection using ECG and EMG signals: A comprehensive study (2020)Emotion Recognition for Everyday Life Using Physiological Signals From Wearables: A Systematic Literature Review (2022)Psychological stress and the coping process (1966)Review on Psychological Stress Detection Using Biosignals (2019)Coefficient Alpha and the Internal Structure of Tests (1951)Inferring psychological significance from physiological signals. (1990)Toward machine emotional intelligence: analysis of affective physiological state (2001)Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)A Multimodal Database for Affect Recognition and Implicit Tagging (2011)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)Introducing the RECOLA multimodal corpus of remote collaborative and affective interactions (2013)Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems (2021)Constants across cultures in the face and emotion. (1971)A circumplex model of affect. (1980)Affective Computing (1997)Emotion, Emotion Regulation, and Psychopathology (2014)Mortality in Mental Disorders and Global Disease Burden Implications (2015)Mortality in the United States, 2020 (2021)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)Datasets for Cognitive Load Inference Using Wearable Sensors and Psychological Traits (2020)Multimodal Features for Detection of Driver Stress and Fatigue: Review (2020)Stress Detection Through Wrist-Based Electrodermal Activity Monitoring and Machine Learning (2023)
this work references cited by second hop

References

  • 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors2,205 cited
  • 2009Discriminating Stress From Cognitive Load Using a Wearable EDA Device742 cited
  • 2015cvxEDA: a Convex Optimization Approach to Electrodermal Activity Processing605 cited
  • 2013Stress Recognition Using Wearable Sensors and Mobile Phones523 cited
  • 2011Development and Evaluation of an Ambulatory Stress Monitor Based on Wearable Sensors221 cited
  • 2016A Non-EEG Biosignals Dataset for Assessment and Visualization of Neurological Status125 cited

Cited by

  • 2019A Bayesian Filtering Approach for Tracking Arousal From Binary and Continuous Skin Conductance Features48 cited
  • 2020Identification of Sympathetic Nervous System Activation From Skin Conductance: A Sparse Decomposition Approach With Physiological Priors44 cited
  • 2020A Marked Point Process Filtering Approach for Tracking Sympathetic Arousal From Skin Conductance42 cited

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