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Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities
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Fatigue monitoring using wearables and AI: Trends, challenges, and future opportunities (2025)Fatigue monitoring using wearables and AI…Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review (2023)Machine learning and deep lea…Addressing fairness in artificial intelligence for medical imaging (2022)Addressing fairness in artifi…Fatigue Monitoring Through Wearables: A State-of-the-Art Review (2021)Fatigue Monitoring Through We…Real Time Driver Fatigue Detection System Based on Multi-Task ConNN (2020)Real Time Driver Fatigue Dete…Detection and analysis: driver state with electrocardiogram (ECG) (2020)Detection and analysis: drive…A data analytic framework for physical fatigue management using wearable sensors (2020)A data analytic framework for…Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment (2019)Vigilance Estimation Using a …EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks (2018)EEG Emotion Recognition Using…Monitoring fatigue in construction workers using physiological measurements (2017)Monitoring fatigue in constru…Electrodermal Activity Sensor for Classification of Calm/Distress Condition (2017)Electrodermal Activity Sensor…DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices (2017)DREAMER: A Database for Emoti…The ULg multimodality drowsiness database (called DROZY) and examples of use (2016)The ULg multimodality drowsin…Drowsiness detection using heart rate variability (2016)Drowsiness detection using he…Fatigue management in the workplace (2015)Fatigue management in the wor…YawDD (2014)YawDDDriver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2010)Driver Drowsiness Classificat…A definition of a nonprobabilistic entropy in the setting of fuzzy sets theory (1972)Cumulative Sleepiness, Mood Disturbance, and Psychomotor Vigilance Performance Decrements During a Week of Sleep Restricted to 4–5 Hours per Night (1997)A critical review of the psychophysiology of driver fatigue (2001)Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data (2016)A Review on Mental Stress Assessment Methods Using EEG Signals (2021)A Review of Recent Developments in Driver Drowsiness Detection Systems (2022)Microcomputer analyses of performance on a portable, simple visual RT task during sustained operations (1985)Evaluation of driver drowsiness by trained raters (1994)How much sleep do we need? (2001)Improving fatigue risk management in healthcare: A systematic scoping review of sleep-related/fatigue-management interventions for nurses and midwives (2019)A Survey on Drowsiness Detection: Modern Applications and Methods (2024)A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale (1991)A driver fatigue recognition model based on information fusion and dynamic Bayesian network (2010)Applying neural network analysis on heart rate variability data to assess driver fatigue (2010)A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability (2017)Detecting driving stress in physiological signals based on multimodal feature analysis and kernel classifiers (2017)Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG (2018)A circumplex model of affect. (1980)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)Development and validation of brief measures of positive and negative affect: The PANAS scales. (1988)EEG-Based Emotion Recognition via Channel-Wise Attention and Self Attention (2020)Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review (2020)A systematic review on affective computing: emotion models, databases, and recent advances (2022)Validity and reliability of a scale to assess fatigue (1991)Development of a fatigue scale (1993)Effects of mental fatigue on attention: An ERP study (2005)An automatic and non-invasive physical fatigue assessment method for construction workers (2019)Identification and classification of construction equipment operators' mental fatigue using wearable eye-tracking technology (2019)Detecting Stress During Real-World Driving Tasks Using Physiological Sensors (2005)Discriminating Stress From Cognitive Load Using a Wearable EDA Device (2009)Electrodermal Activity Based Pre-surgery Stress Detection Using a Wrist Wearable (2019)Identifying Traffic Context Using Driving Stress: A Longitudinal Preliminary Case Study (2019)Predicting stress levels using physiological data: Real-time stress prediction models utilizing wearable devices (2024)Emotion recognition in human-computer interaction (2001)Mechanism Design via Differential Privacy (2007)Investigating Critical Frequency Bands and Channels for EEG-Based Emotion Recognition with Deep Neural Networks (2015)A Review of Emotion Recognition Using Physiological Signals (2018)EEG-Based Emotion Recognition Using Regularized Graph Neural Networks (2020)Vigilance, alertness, or sustained attention: physiological basis and measurement (2006)The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration (2009)The Cochrane Collaboration's tool for assessing risk of bias in randomised trials (2011)Examining the Landscape of Cognitive Fatigue Detection: A Comprehensive Survey (2024)Inherent Trade-Offs in the Fair Determination of Risk Scores (2016)AI can be sexist and racist — it’s time to make it fair (2018)A Survey on Bias and Fairness in Machine Learning (2021)Human visual explanations mitigate bias in AI-based assessment of surgeon skills (2023)A survey of recent methods for addressing AI fairness and bias in biomedicine (2024)Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models (2024)Real-Time Driver-Drowsiness Detection System Using Facial Features (2019)An intelligent system for monitoring students' engagement in large classroom teaching through facial expression recognition (2021)
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References

  • 2018EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks1,605 cited
  • 2017DREAMER: A Database for Emotion Recognition Through EEG and ECG Signals From Wireless Low-cost Off-the-Shelf Devices1,130 cited
  • 2010Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm526 cited
  • 2017Monitoring fatigue in construction workers using physiological measurements403 cited
  • 2014YawDD294 cited
  • 2016Drowsiness detection using heart rate variability289 cited
  • 2015Fatigue management in the workplace210 cited
  • 2021Fatigue Monitoring Through Wearables: A State-of-the-Art Review210 cited
  • 2022Addressing fairness in artificial intelligence for medical imaging204 cited
  • 2017Electrodermal Activity Sensor for Classification of Calm/Distress Condition186 cited
  • 2020Real Time Driver Fatigue Detection System Based on Multi-Task ConNN180 cited
  • 2016The ULg multimodality drowsiness database (called DROZY) and examples of use150 cited
  • 2023Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review144 cited
  • 2019Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment118 cited
  • 2020

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Detection and analysis: driver state with electrocardiogram (ECG)
117 cited
  • 2020A data analytic framework for physical fatigue management using wearable sensors117 cited
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