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Ultra-Short Window Length and Feature Importance Analysis for Cognitive Load Detection from Wearable Sensors
16 references·0 citing·49 second hop
Ultra-Short Window Length and Feature Importance Analysis for Cognitive Load Detection from Wearable Sensors (2021)Ultra-Short Window Length and Feature Imp…NeuroKit2: A Python toolbox for neurophysiological signal processing (2021)NeuroKit2: A Python toolbox f…Datasets for Cognitive Load Inference Using Wearable Sensors and Psychological Traits (2020)Datasets for Cognitive Load I…Wearable-Based Affect Recognition—A Review (2019)Wearable-Based Affect Recogni…Continuous stress detection using the sensors of commercial smartwatch (2019)Continuous stress detection u…A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals (2019)A Review, Current Challenges,…Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018)Introducing WESAD, a Multimod…Into the Wild: The Challenges of Physiological Stress Detection in Laboratory and Ambulatory Settings (2018)Into the Wild: The Challenges…Bayesian Optimization (2018)Bayesian OptimizationAffective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors (2018)Affective computing in virtua…A Tutorial on Bayesian Optimization (2018)A Tutorial on Bayesian Optimi…Monitoring stress with a wrist device using context (2017)Monitoring stress with a wris…Heart Rate Variability Signal Features for Emotion Recognition by Using Principal Component Analysis and Support Vectors Machine (2016)Heart Rate Variability Signal…State of science: mental workload in ergonomics (2014)State of science: mental work…EEG-based classification of positive and negative affective states (2014)EEG-based classification of p…Psycho-physiological measures for assessing cognitive load (2010)Psycho-physiological measures…Out of the Lab and into the Fray: Towards Modeling Emotion in Everyday Life (2010)Out of the Lab and into the F…Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research (1988)Human Cognitive Abilities (1993)The processing-speed theory of adult age differences in cognition. 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(1988)DEAP: A Database for Emotion Analysis ;Using Physiological Signals (2011)A Review on Mental Stress Detection Using Wearable Sensors and Machine Learning Techniques (2021)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Emotion recognition and artificial intelligence: A systematic review (2014–2023) and research recommendations (2023)A Global Measure of Perceived Stress (1983)The Pittsburgh sleep quality index: A new instrument for psychiatric practice and research (1989)A survey of multidisciplinary domains contributing to affective computing (2021)Emotion Recognition for Everyday Life Using Physiological Signals From Wearables: A Systematic Literature Review (2022)Machine Learning, Deep Learning, and Data Preprocessing Techniques for Detecting, Predicting, and Monitoring Stress and Stress-Related Mental Disorders: Scoping Review (2024)Estimating the reproducibility of psychological science (2015)Jupyter Notebooks – a publishing format for reproducible computational workflows (2016)A Transformer Architecture for Stress Detection from ECG (2021)Classification of Drivers' Workload Using Physiological Signals in Conditional Automation (2021)Depression Recognition Using Remote Photoplethysmography From Facial Videos (2023)A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning (2010)A Survey on High-dimensional Gaussian Process Modeling with Application to Bayesian Optimization (2022)Recent Advances in Bayesian Optimization (2023)Predictions of steel price indices through machine learning for the regional northeast Chinese market (2024)Electrocardiogram-Based Emotion Recognition Systems and Their Applications in Healthcare—A Review (2021)Emotion recognition from unimodal to multimodal analysis: A review (2023)Emotion recognition in EEG signals using deep learning methods: A review (2023)
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References

  • 2018A Tutorial on Bayesian Optimization1,422 cited
  • 2021NeuroKit2: A Python toolbox for neurophysiological signal processing1,412 cited
  • 2018Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection1,356 cited
  • 2014State of science: mental workload in ergonomics943 cited
  • 2018Bayesian Optimization887 cited
  • 2018Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors414 cited
  • 2010Psycho-physiological measures for assessing cognitive load382 cited
  • 2017Monitoring stress with a wrist device using context353 cited
  • 2019A Review, Current Challenges, and Future Possibilities on Emotion Recognition Using Machine Learning and Physiological Signals322 cited
  • 2019Wearable-Based Affect Recognition—A Review219 cited
  • 2016Heart Rate Variability Signal Features for Emotion Recognition by Using Principal Component Analysis and Support Vectors Machine123 cited
  • 2019Continuous stress detection using the sensors of commercial smartwatch107 cited
  • 2020Datasets for Cognitive Load Inference Using Wearable Sensors and Psychological Traits101 cited
  • 2014EEG-based classification of positive and negative affective states100 cited
  • 2018

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Into the Wild: The Challenges of Physiological Stress Detection in Laboratory and Ambulatory Settings
98 cited
  • 2010Out of the Lab and into the Fray: Towards Modeling Emotion in Everyday Life96 cited
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