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Feature Selection Framework for XGBoost Based on Electrodermal Activity in Stress Detection
11 references·3 citing·46 second hop
Feature Selection Framework for XGBoost Based on Electrodermal Activity in Stress Detection (2019)Feature Selection Framework for XGBoost B…Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Introducing WESAD, a Multimod…Electrodermal Activity Sensor for Classification of Calm/Distress Condition (2017)Electrodermal Activity Sensor…Continuous stress detection using a wrist device (2016)Continuous stress detection u…A Non-EEG Biosignals Dataset for Assessment and Visualization of Neurological Status (2016)A Non-EEG Biosignals Dataset …Automatic identification of artifacts in electrodermal activity data (2015)Automatic identification of a…Detecting emotional stress from facial expressions for driving safety (2014)Detecting emotional stress fr…Stress detection from speech and Galvanic Skin Response signals (2013)Stress detection from speech …StressSense (2012)StressSenseDiscriminating Stress From Cognitive Load Using a Wearable EDA Device (2009)Discriminating Stress From Co…Emotion recognition based on physiological changes in music listening (2008)Emotion recognition based on …Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Detecting Stress During Real-…Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data (2025)Machine and Deep Learning Mod…Optimization of Wearable Biosensor Data for Stress Classification Using Machine Learning and Explainable AI (2024)Optimization of Wearable Bios…A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study (2024)A Comparison of Personalized …Psychological stress and the coping process (1966)Review on Psychological Stress Detection Using Biosignals (2019)Stress detection in daily life scenarios using smart phones and wearable sensors: A survey (2019)The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression (2010)Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2011)A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements (2018)Multimodal Features for Detection of Driver Stress and Fatigue: Review (2020)Psychophysiological responses to takeover requests in conditionally automated driving (2020)Stress, appraisal, and coping (1985)Stress: Appraisal and Coping (2013)Application of Wearable Biosensors to Construction Sites. 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References

  • 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors2,205 cited
  • 2018Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection1,356 cited
  • 2008Emotion recognition based on physiological changes in music listening1,085 cited
  • 2009Discriminating Stress From Cognitive Load Using a Wearable EDA Device742 cited
  • 2012StressSense511 cited
  • 2015Automatic identification of artifacts in electrodermal activity data279 cited
  • 2016Continuous stress detection using a wrist device233 cited
  • 2013Stress detection from speech and Galvanic Skin Response signals227 cited
  • 2014Detecting emotional stress from facial expressions for driving safety196 cited
  • 2017Electrodermal Activity Sensor for Classification of Calm/Distress Condition186 cited
  • 2016A Non-EEG Biosignals Dataset for Assessment and Visualization of Neurological Status125 cited

Cited by

  • 2025Machine and Deep Learning Models for Stress Detection Using Multimodal Physiological Data54 cited
  • 2024A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study51 cited
  • 2024Optimization of Wearable Biosensor Data for Stress Classification Using Machine Learning and Explainable AI

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47 cited