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Call Center Stress Recognition with Person-Specific Models
2 references·16 citing·47 second hop
Call Center Stress Recognition with Person-Specific Models (2011)Call Center Stress Recognition with Perso…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-…Current trends and opportunities in the methodology of electrodermal activity measurement (2022)Current trends and opportunit…Acute Stress State Classification Based on Electrodermal Activity Modeling (2021)Acute Stress State Classifica…Toward Emotion Recognition From Physiological Signals in the Wild: Approaching the Methodological Issues in Real-Life Data Collection (2020)Toward Emotion Recognition Fr…Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy (2020)Physiological-signal-based em…Evaluating the Reproducibility of Physiological Stress Detection Models (2020)Evaluating the Reproducibilit…Unobtrusive Assessment of Students' Emotional Engagement during Lectures Using Electrodermal Activity Sensors (2018)Unobtrusive Assessment of Stu…Into the Wild: The Challenges of Physiological Stress Detection in Laboratory and Ambulatory Settings (2018)Into the Wild: The Challenges…DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings (2018)DeepBreath: Deep learning of …RankTrace: Relative and unbounded affect annotation (2017)RankTrace: Relative and unbou…DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings (2017)DeepBreath: Deep learning of …Wavelet-based motion artifact removal for electrodermal activity (2015)Wavelet-based motion artifact…Automatic Detection of Perceived Stress in Campus Students Using Smartphones (2015)Automatic Detection of Percei…Using electrodermal activity to recognize ease of engagement in children during social interactions (2014)Using electrodermal activity …Under pressure (2014)Under pressureDon’t Classify Ratings of Affect; Rank Them! 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(1980)Measuring emotion: The self-assessment manikin and the semantic differential (1994)Well-being : the foundations of hedonic psychology (1999)FLIRT: A feature generation toolkit for wearable data (2021)Exploring Unsupervised Machine Learning Classification Methods for Physiological Stress Detection (2022)Approaches, Applications, and Challenges in Physiological Emotion Recognition—A Tutorial Overview (2023)Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques (2020)
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References

  • 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors2,205 cited
  • 2009Discriminating Stress From Cognitive Load Using a Wearable EDA Device742 cited

Cited by

  • 2018Unobtrusive Assessment of Students' Emotional Engagement during Lectures Using Electrodermal Activity Sensors181 cited
  • 2014Under pressure167 cited
  • 2014Using electrodermal activity to recognize ease of engagement in children during social interactions143 cited
  • 2018DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings129 cited
  • 2017DeepBreath: Deep learning of breathing patterns for automatic stress recognition using low-cost thermal imaging in unconstrained settings124 cited
  • 2014Don’t Classify Ratings of Affect; Rank Them!109 cited
  • 2020Toward Emotion Recognition From Physiological Signals in the Wild: Approaching the Methodological Issues in Real-Life Data Collection104 cited
  • 2018Into the Wild: The Challenges of Physiological Stress Detection in Laboratory and Ambulatory Settings98 cited
  • 2021Acute Stress State Classification Based on Electrodermal Activity Modeling96 cited
  • 2015Automatic Detection of Perceived Stress in Campus Students Using Smartphones86 cited
  • 2022Current trends and opportunities in the methodology of electrodermal activity measurement85 cited

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  • 2020Evaluating the Reproducibility of Physiological Stress Detection Models83 cited
  • 2014AutoEmotive79 cited
  • 2020Physiological-signal-based emotion recognition: An odyssey from methodology to philosophy78 cited
  • 2015Wavelet-based motion artifact removal for electrodermal activity75 cited
  • 2017RankTrace: Relative and unbounded affect annotation74 cited