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Evaluating different configurations of machine learning models and their transfer learning capabilities for stress detection using heart rate
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Evaluating different configurations of machine learning models and their transfer learning capabilities for stress detection using heart rate (2022)Evaluating different configurations of ma…NeuroKit2: A Python toolbox for neurophysiological signal processing (2021)NeuroKit2: A Python toolbox f…A survey of multidisciplinary domains contributing to affective computing (2021)A survey of multidisciplinary…Stress Detection via Keyboard Typing Behaviors by Using Smartphone Sensors and Machine Learning Techniques (2020)Stress Detection via Keyboard…Stress detection using ECG and EMG signals: A comprehensive study (2020)Stress detection using ECG an…Ten challenges for EEG-based affective computing (2019)Ten challenges for EEG-based …Stress Detection Through Electrodermal Activity (EDA) and Electrocardiogram (ECG) Analysis in Car Drivers (2019)Stress Detection Through Elec…Soft skills and its application in work place (2019)Soft skills and its applicati…Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Introducing WESAD, a Multimod…Driver Fatigue Detection Systems: A Review (2018)Driver Fatigue Detection Syst…Stress Detection in Working People (2017)Stress Detection in Working P…Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers (2017)Detecting driving stress in p…A Survey of Affective Computing for Stress Detection: Evaluating technologies in stress detection for better health (2016)A Survey of Affective Computi…The SWELL Knowledge Work Dataset for Stress and User Modeling Research (2014)The SWELL Knowledge Work Data…A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study (2024)A Comparison of Personalized …Multi-Class Stress Detection Through Heart Rate Variability: A Deep Neural Network Based Study (2023)Multi-Class Stress Detection …Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Measuring emotion: The self-assessment manikin and the semantic differential (1994)The job demands-resources model of burnout. 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  • 2023Multi-Class Stress Detection Through Heart Rate Variability: A Deep Neural Network Based Study

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57 cited
  • 2024A Comparison of Personalized and Generalized Approaches to Emotion Recognition Using Consumer Wearable Devices: Machine Learning Study51 cited