☆ 4.6 Article

Artificial intelligence modelling human mental fatigue: A comprehensive survey

NEUROCOMPUTING (2024)

Related references

Note: Only part of the references are listed.

Article Clinical Neurology

You look sleepy ... The impact of sleep restriction on skin parameters and facial appearance of 24 women

Damien Leger et al.

Summary: This study found that sleep restriction has a significant impact on skin quality and facial appearance, including decreased hydration, increased trans-epidermal water loss, decreased skin extensibility and viscosity. Sleep restriction also led to an increase in skin pH, decreased brightness and saturation in face photography, and a decrease in isolated corneocytes after desquamation. Sleep restriction was also associated with significantly increased levels of malondialdehyde.

SLEEP MEDICINE (2022)

Add to Collection

Review Environmental Sciences

Mental Load and Fatigue Assessment Instruments: A Systematic Review

Jesus Diaz-Garcia et al.

Summary: Mental load and fatigue are significant causes of performance decline and accidents. A systematic review on the instruments used to measure them is currently lacking. This study summarizes and classifies the validated instruments used to quantify mental load and fatigue. Most studies use subjective scales to evaluate mental load and fatigue, with fewer studies utilizing behavioral and objective techniques. Limited information is available on the use of derived measures for mental load and fatigue analysis.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2022)

Add to Collection

Article Chemistry, Multidisciplinary

Driver Drowsiness Detection by Applying Deep Learning Techniques to Sequences of Images

Elena Magan et al.

Summary: This work presents the development of an ADAS focused on driver drowsiness detection, using sequences of images to detect fatigue in a non-intrusive way. Two alternative solutions are developed to minimize false positives, with the fuzzy logic-based system standing out for its high specificity. The obtained results are not very satisfactory, but the proposals in this work are promising for future advancements.

APPLIED SCIENCES-BASEL (2022)

Add to Collection

Article Computer Science, Information Systems

A Hybrid Driver Fatigue and Distraction Detection Model Using AlexNet Based on Facial Features

Salma Anber et al.

Summary: Modern cities' fast-paced lifestyle has led to fatigue and sleep deprivation among drivers, resulting in an increase in road accidents. To prevent these accidents, we propose two AlexNet-based models that detect drivers' fatigue behaviors, achieving high accuracy.

ELECTRONICS (2022)

Add to Collection

Article Clinical Neurology

Effects of Caffeine Intake on Cognitive Performance Related to Total Sleep Deprivation and Time on Task: A Randomized Cross-Over Double-Blind Study

Michael Quiquempoix et al.

Summary: It is widely believed that both total sleep deprivation (TSD) and extended task engagement (Time-On-Task, TOT) can lead to cognitive fatigue in healthy subjects. Caffeine intake has been shown to alleviate sustained attention deficits related to TSD, but not those related to TOT, suggesting different mechanisms underlying these cognitive processes.

NATURE AND SCIENCE OF SLEEP (2022)

Add to Collection

Article Chemistry, Analytical

Comparison of Eye and Face Features on Drowsiness Analysis

I-Hsi Kao et al.

Summary: This study aims to recognize drowsiness through human facial features and analyze the attention of neurons in the learning model. The results show that using eye images alone yields better results and the effect of Grad-CAM is more reasonable. Furthermore, the proposed feature analysis method KNN-Sigma is effective in estimating the homogeneous concentration and heterogeneous separation of extracted features. The fusion of face and eye signals gives the best results for recognition accuracy and KNN-Sigma.

SENSORS (2022)

Add to Collection

Article Computer Science, Information Systems

Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System

Qaisar Abbas et al.

Summary: This paper proposes a real-time driver inattention and fatigue detection system using multi-view cameras and biosignal sensors. By collecting and preprocessing physiological and behavioral information of the driver, extracting features using deep neural networks, classifying driver behaviors into multiple stages, and comparing with existing methods, the performance of the system is verified.

CMC-COMPUTERS MATERIALS & CONTINUA (2022)

Add to Collection

Article Ergonomics

Using long short term memory and convolutional neural networks for driver drowsiness detection

Azhar Quddus et al.

Summary: Fatigue hinders drivers' safety and performance, and detecting drowsiness through eye movements is an attractive approach. This paper proposes using RNN to capture eye-related movements and LSTM to model the eye movements, showing significant efficacy in detecting drowsiness.

ACCIDENT ANALYSIS AND PREVENTION (2021)

Add to Collection

Article Engineering, Mechanical

Driver fatigue detection based on convolutional neural network and face alignment for edge computing device

Xiaofeng Li et al.

Summary: This paper proposes a driver fatigue detection system based on convolutional neural network that can run in real-time on edge computing devices. The system locates and classifies the face, detects fatigue using feature parameters, achieving 88.53% mAP and an average detection accuracy of 89.55%.

PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART D-JOURNAL OF AUTOMOBILE ENGINEERING (2021)

Add to Collection

Article Neurosciences

A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naive Bayesian Classification

Samy Bakheet et al.

Summary: An innovative framework for driver drowsiness detection is proposed in this paper, incorporating an adaptive descriptor formed from improved HOG features and a Naive Bayes classifier. Experimental results show a competitive detection accuracy of 85.62% on the NTHU-DDD dataset, demonstrating the potential of the framework to be a strong contender for state-of-the-art baselines.

BRAIN SCIENCES (2021)

Add to Collection

Review Physiology

Fatigue Monitoring Through Wearables: A State-of-the-Art Review

Neusa R. Adao Martins et al.

Summary: The objective measurement of fatigue is crucial in occupational health and safety, with wearable systems showing promise in continuous monitoring. However, challenges exist in monitoring fatigue through wearables. Research mainly focuses on short-term studies in laboratory settings, utilizing various physiological signals collected by wearable devices.

FRONTIERS IN PHYSIOLOGY (2021)

Add to Collection

Article Physics, Multidisciplinary

Research on Channel Selection and Multi-Feature Fusion of EEG Signals for Mental Fatigue Detection

Quan Liu et al.

Summary: In this study, a 2-back task was designed to induce fatigue, and the ReliefF algorithm was used to calculate the weight values of channels. The proposed method effectively improved the accuracy of mental fatigue detection.

ENTROPY (2021)

Add to Collection

Article Computer Science, Information Systems

A high-precision feature extraction network of fatigue speech from air traffic controller radiotelephony based on improved deep learning

Zhiyuan Shen et al.

Summary: ATC fatigue is a major cause of air traffic incidents and research has shown that it can be detected by analyzing speech utterances. Constructing a complete labelled fatigue dataset is time-consuming, and manually constructed speech collections often lack key information for effective fatigue recognition. A novel deep learning framework proposed in this study integrates active learning (AL) and complex speech features to overcome information loss and improve detection precision.

ICT EXPRESS (2021)

Add to Collection

Article Psychology, Multidisciplinary

A Proposal for a Unifying Set of Definitions of Fatigue

Simon Skau et al.

Summary: This paper proposes a set of unifying definitions that are useful in all areas of fatigue research while remaining neutral to various theories about fatigue. By establishing 13 distinct definitions of fatigue and fatigue-related phenomena, it helps facilitate communication between different researchers, link phenomena from divergent research fields together, facilitate application and knowledge production.

FRONTIERS IN PSYCHOLOGY (2021)

Add to Collection

Review Psychology, Biological

Mental fatigue measurement using eye metrics: A systematic literature review

Tanya Bafna et al.

Summary: Mental fatigue measurement techniques utilizing eye-tracking and electrooculography have become increasingly important for objective and continuous assessment of mental fatigue, exploring the relationship between eye-based features and mental fatigue. Saccades, particularly mean and peak velocity, show promise in quickly accessing cognitive states post-fatiguing activity, while static pupil size may indicate mental fatigue in controlled experimental conditions. Several limitations were identified, including varied experimental methods and potential inducement of sleepiness due to dim lighting.

PSYCHOPHYSIOLOGY (2021)

Add to Collection

Article Clinical Neurology

Guiding principles for determining work shift duration and addressing the effects of work shift duration on performance, safety, and health: guidance from the American Academy of Sleep Medicine and the Sleep Research Society

Indira Gurubhagavatula et al.

Summary: Historically, risks associated with fatigue during work shifts have been managed through fixed time arrangements, but these traditional methods are not sufficient to mitigate the risks to performance, safety, and health caused by fatigue. Science-based approaches are necessary to determine shift duration and mitigate associated risks effectively while balancing operational demands.

JOURNAL OF CLINICAL SLEEP MEDICINE (2021)

Add to Collection

Article Environmental Sciences

Associations between Depression, Anxiety, Fatigue, and Learning Motivating Factors in e-Learning-Based Computer Programming Education

Aiste Dirzyte et al.

Summary: Quarantines imposed due to COVID-19 have accelerated the adoption of e-learning but also contributed to increased rates of anxiety, depression, and fatigue. Identifying motivating factors related to mental health in e-learning is crucial, as is recognizing factors related to computer programming skills in the rapidly evolving technology landscape. Challenging goals, individual attitude and expectation, and social pressure and competition are significant factors affecting mental health outcomes in e-learners.

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH (2021)

Add to Collection

Article Computer Science, Artificial Intelligence

Detecting Fatigue Status of Pilots Based on Deep Learning Network Using EEG Signals

Edmond Q. Wu et al.

Summary: This article presents a solution for fatigue recognition through a new deep learning model that uses the power spectrum of an EEG signal as input. The model extracts local features and detects pilots' mental fatigue status with good performance compared to state-of-the-art models.

IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS (2021)

Add to Collection

Article Psychology, Applied

Fatigue risk management based on self-reported fatigue: Expanding a biomathematical model of fatigue-related performance deficits to also predict subjective sleepiness

Mark E. McCauley et al.

Summary: Research on fatigue biomathematical models for predicting subjective sleepiness showed high prediction accuracy. The study identified differences between subjective and objective outcomes predictions, highlighting potential risks in safety-sensitive operations such as commercial aviation. The validated model provides a useful quantitative tool to bridge this previously unrecognized gap.

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2021)

Add to Collection

Article Computer Science, Information Systems

Reducing Videoconferencing Fatigue through Facial Emotion Recognition

Jannik Roessler et al.

Summary: In video meetings, the emotions of the speaker can influence the emotional experience of the audience, and presentations that trigger wide swings in emotions among participants tend to receive higher ratings.

FUTURE INTERNET (2021)

Add to Collection

Review Physics, Applied

Physics-informed machine learning

George Em Karniadakis et al.

Summary: Physics-informed learning seamlessly integrates data and mathematical models through neural networks or kernel-based regression networks for accurate inference of realistic and high-dimensional multiphysics problems. Challenges remain in incorporating noisy data seamlessly, complex mesh generation, and addressing high-dimensional problems.

NATURE REVIEWS PHYSICS (2021)

Add to Collection

Article Computer Science, Information Systems

Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion

Huijie Jia et al.

Summary: The algorithm proposed in this study utilizes deep learning and facial multi-index fusion to detect fatigue driving, by improving MTCNN and developing E-MSR Net for quick and accurate recognition of driver's fatigue state. The algorithm achieved a high accuracy of 97.5% on a self-made dataset, proving its feasibility in complex driving scenarios and ability to avoid occlusion interference.

IEEE ACCESS (2021)

Add to Collection

Review Clinical Neurology

The neurophysiological basis of excessive daytime sleepiness: suggestions of an altered state of consciousness

P. K. Hitchcott et al.

SLEEP AND BREATHING (2020)

Add to Collection

Article Engineering, Electrical & Electronic

Comprehensive Drowsiness Level Detection Model Combining Multimodal Information

Mika Sunagawa et al.

IEEE SENSORS JOURNAL (2020)

Add to Collection

Article Chemistry, Analytical

A Portable Fuzzy Driver Drowsiness Estimation System

Alimed Celecia et al.

SENSORS (2020)

Add to Collection

Article Mathematical & Computational Biology

A Lightweight Object Detection Network for Real-Time Detection of Driver Handheld Call on Embedded Devices

Zuopeng Zhao et al.

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (2020)

Add to Collection

Proceedings Paper Automation & Control Systems

A Real-time Driver Fatigue Detection Method Based on Two-Stage Convolutional Neural Network

Hu He et al.

IFAC PAPERSONLINE (2020)

Add to Collection

Article Computer Science, Information Systems

Intelligent Recognition of Fatigue and Sleepiness Based on InceptionV3-LSTM via Multi-Feature Fusion

Yifei Zhao et al.

IEEE ACCESS (2020)

Add to Collection

Article Computer Science, Information Systems

A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion

Kening Li et al.

IEEE ACCESS (2020)

Add to Collection

Article Ergonomics

Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue

Xinyun Hu et al.

JOURNAL OF SAFETY RESEARCH (2020)

Add to Collection

Article Computer Science, Information Systems

Real Time Driver Fatigue Detection System Based on Multi-Task ConNN

Burcu Kir Savas et al.

IEEE ACCESS (2020)

Add to Collection

Article Imaging Science & Photographic Technology

Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network

Younes Ed-Doughmi et al.

JOURNAL OF IMAGING (2020)

Add to Collection

Article Computer Science, Information Systems

Driver drowsiness detection using hybrid convolutional neural network and long short-term memory

Jing-Ming Guo et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2019)

Add to Collection

Article Multidisciplinary Sciences

Unmasking Clever Hans predictors and assessing what machines really learn

Sebastian Lapuschkin et al.

NATURE COMMUNICATIONS (2019)

Add to Collection

Article Engineering, Electrical & Electronic

Fatigue driving detection model based on multi-feature fusion and semi-supervised active learning

Xu Li et al.

IET INTELLIGENT TRANSPORT SYSTEMS (2019)

Add to Collection

Article Computer Science, Artificial Intelligence

Eye gaze pattern analysis for fatigue detection based on GP-BCNN with ESM

Yan Wang et al.

PATTERN RECOGNITION LETTERS (2019)

Add to Collection

Article Behavioral Sciences

Fatigue and its management in the workplace

John A. Caldwell et al.

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2019)

Add to Collection

Article Computer Science, Information Systems

A Mobile Application for Driver's Drowsiness Monitoring based on PERCLOS Estimation

Gabriel Soares et al.

IEEE LATIN AMERICA TRANSACTIONS (2019)

Add to Collection

Article Psychology, Multidisciplinary

Comparing the effects of three cognitive tasks on indicators of mental fatigue

Mitchell R. Smith et al.

JOURNAL OF PSYCHOLOGY (2019)

Add to Collection

Article Computer Science, Information Systems

3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit

Yiqing Liu et al.

IEEE ACCESS (2019)

Add to Collection

Article Computer Science, Information Systems

Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection

Weihuang Liu et al.

FUTURE INTERNET (2019)

Add to Collection

Article Ergonomics

Detection and prediction of driver drowsiness using artificial neural network models

Charlotte Jacobe de Naurois et al.

ACCIDENT ANALYSIS AND PREVENTION (2019)

Add to Collection

Article Computer Science, Information Systems

Non-Contact Detection of Vital Signs Using a UWB Radar Sensor

Zhenzhen Duan et al.

IEEE ACCESS (2019)

Add to Collection

Article Computer Science, Information Systems

Assessment of Driver Mental Fatigue Using Facial Landmarks

Qian Cheng et al.

IEEE ACCESS (2019)

Add to Collection

Review Engineering, Electrical & Electronic

Sensor Applications and Physiological Features in Drivers' Drowsiness Detection: A Review

Anuva Chowdhury et al.

IEEE SENSORS JOURNAL (2018)

Add to Collection

Article Engineering, Biomedical

Functional Connectivity Analysis of Mental Fatigue Reveals Different Network Topological Alterations Between Driving and Vigilance Tasks

Georgios N. Dimitrakopoulos et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Task-related EEG and HRV entropy factors under different real-world fatigue scenarios

Chin-Teng Lin et al.

NEUROCOMPUTING (2018)

Add to Collection

Article Computer Science, Artificial Intelligence

Hierarchical CNN-based real-time fatigue detection system by visual-based technologies using MSP model

Wang Huan Gu et al.

IET IMAGE PROCESSING (2018)

Add to Collection

Article Ergonomics

Adapting artificial neural networks to a specific driver enhances detection and prediction of drowsiness

Charlotte Jacobe de Naurois et al.

ACCIDENT ANALYSIS AND PREVENTION (2018)

Add to Collection

Article Psychology, Multidisciplinary

Bridging Exercise Science, Cognitive Psychology, and Medical Practice: Is Cognitive Fatigue a Remake of The Emperor's New Clothes?

Nathalie Pattyn et al.

FRONTIERS IN PSYCHOLOGY (2018)

Add to Collection

Review Neurosciences

The sleep-deprived human brain

Adam J. Krause et al.

NATURE REVIEWS NEUROSCIENCE (2017)

Add to Collection

Review Behavioral Sciences

The neurocognitive consequences of sleep restriction: A meta-analytic review

Cassandra J. Lowe et al.

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2017)

Add to Collection

Article Behavioral Sciences

The relationship between outcome prediction and cognitive fatigue: A convergence of paradigms

G. R. Wylie et al.

COGNITIVE AFFECTIVE & BEHAVIORAL NEUROSCIENCE (2017)

Add to Collection

Article Computer Science, Hardware & Architecture

ImageNet Classification with Deep Convolutional Neural Networks

Alex Krizhevsky et al.

COMMUNICATIONS OF THE ACM (2017)

Add to Collection

Article Engineering, Electrical & Electronic

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Kaipeng Zhang et al.

IEEE SIGNAL PROCESSING LETTERS (2016)

Add to Collection

Article Computer Science, Interdisciplinary Applications

Drowsiness detection using heart rate variability

Jose Vicente et al.

MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2016)

Add to Collection

Proceedings Paper Transportation

Drowsiness detection based on the analysis of breathing rate obtained from real-time image recognition

Jose Solaz et al.

TRANSPORT RESEARCH ARENA TRA2016 (2016)

Add to Collection

Article Engineering, Multidisciplinary

Modelling worker reliability with learning and fatigue

Z. S. Givi et al.

APPLIED MATHEMATICAL MODELLING (2015)

Add to Collection

Article Engineering, Electrical & Electronic

Noncontact Multiple Heartbeats Detection and Subject Localization Using UWB Impulse Doppler Radar

Lingyun Ren et al.

IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS (2015)

Add to Collection

Article Chemistry, Analytical

A Self-Adaptive Dynamic Recognition Model for Fatigue Driving Based on Multi-Source Information and Two Levels of Fusion

Wei Sun et al.

SENSORS (2015)

Add to Collection

Article Clinical Neurology

Benefits of Sleep Extension on Sustained Attention and Sleep Pressure Before and During Total Sleep Deprivation and Recovery

Pierrick J. Arnal et al.

SLEEP (2015)

Add to Collection

Article Public, Environmental & Occupational Health

Effects of Fatigue on Driving Performance Under Different Roadway Geometries: A Simulator Study

Hongji Du et al.

TRAFFIC INJURY PREVENTION (2015)

Add to Collection

Article Clinical Neurology

Benefits of Sleep Extension on Sustained Attention and Sleep Pressure Before and During Total Sleep Deprivation and Recovery

Pierrick J. Arnal et al.

SLEEP (2015)

Add to Collection

Review Psychology, Applied

A review of definitions of fatigue - And a step towards a whole definition

Ross O. Phillips

TRANSPORTATION RESEARCH PART F-TRAFFIC PSYCHOLOGY AND BEHAVIOUR (2015)

Add to Collection

Article Engineering, Biomedical

Discriminative Analysis of Brain Functional Connectivity Patterns for Mental Fatigue Classification

Yu Sun et al.

ANNALS OF BIOMEDICAL ENGINEERING (2014)

Add to Collection

Article Computer Science, Artificial Intelligence

Fully automated real time fatigue detection of drivers through Fuzzy Expert Systems

Tayyaba Azim et al.

APPLIED SOFT COMPUTING (2014)

Add to Collection

Article Computer Science, Artificial Intelligence

Detecting driver drowsiness using feature-level fusion and user-specific classification

Jaeik Jo et al.

EXPERT SYSTEMS WITH APPLICATIONS (2014)

Add to Collection

Article Medicine, Research & Experimental

Yawning, fatigue, and cortisol: Expanding the Thompson Cortisol Hypothesis

Simon B. N. Thompson

MEDICAL HYPOTHESES (2014)

Add to Collection

Review Behavioral Sciences

Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness

Gianluca Borghini et al.

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2014)

Add to Collection

Article Biophysics

Improved motion robustness of remote-PPG by using the blood volume pulse signature

G. de Haan et al.

PHYSIOLOGICAL MEASUREMENT (2014)

Add to Collection

Article Behavioral Sciences

Two types of mental fatigue affect spontaneous oscillatory brain activities in different ways

Yoshihito Shigihara et al.

BEHAVIORAL AND BRAIN FUNCTIONS (2013)

Add to Collection

Article Engineering, Biomedical

Robust Pulse Rate From Chrominance-Based rPPG

Gerard de Haan et al.

IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2013)

Add to Collection

Article Multidisciplinary Sciences

Dopaminergic Polymorphisms Associated with Time-on-Task Declines and Fatigue in the Psychomotor Vigilance Test

Julian Lim et al.

PLOS ONE (2012)

Add to Collection

Article Multidisciplinary Sciences

Mental Fatigue Affects Visual Selective Attention

Leon G. Faber et al.

PLOS ONE (2012)

Add to Collection

Article Mathematics, Interdisciplinary Applications

Investigation of mental fatigue through EEG signal processing based on nonlinear analysis: Symbolic dynamics

Mahdi Azarnoosh et al.

CHAOS SOLITONS & FRACTALS (2011)

Add to Collection

Article Medicine, Research & Experimental

Born to yawn? Cortisol linked to yawning: A new hypothesis

Simon B. N. Thompson

MEDICAL HYPOTHESES (2011)

Add to Collection

Article Ergonomics

Driving performance impairments due to hypovigilance on monotonous roads

Gregoire S. Larue et al.

ACCIDENT ANALYSIS AND PREVENTION (2011)

Add to Collection

Review Psychiatry

Measurements of sleepiness and fatigue

Azmeh Shahid et al.

JOURNAL OF PSYCHOSOMATIC RESEARCH (2010)

Add to Collection

Article Medicine, Research & Experimental

The dawn of the yawn: Is yawning a warning? Linking neurological disorders

Simon B. N. Thompson

MEDICAL HYPOTHESES (2010)

Add to Collection

Article Computer Science, Artificial Intelligence

Driver drowsiness detection with eyelid related parameters by Support Vector Machine

Hu Shuyan et al.

EXPERT SYSTEMS WITH APPLICATIONS (2009)

Add to Collection

Article Engineering, Civil

Real-time system for monitoring driver vigilance

LM Bergasa et al.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2006)

Add to Collection

Review Clinical Neurology

Distinguishing sleepiness and fatigue: focus on definition and measurement

JH Shen et al.

SLEEP MEDICINE REVIEWS (2006)

Add to Collection

Article Computer Science, Artificial Intelligence

Effects of mental fatigue on attention: An ERP study

MAS Boksem et al.

COGNITIVE BRAIN RESEARCH (2005)

Add to Collection

Article Psychiatry

Comparative sensitivity of a simulated driving task to self-report, physiological, and other performance measures during prolonged wakefulness

JT Arnedt et al.

JOURNAL OF PSYCHOSOMATIC RESEARCH (2005)

Add to Collection

Article Engineering, Electrical & Electronic

Real-time nonintrusive monitoring and prediction of driver fatigue

Q Ji et al.

IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2004)

Add to Collection

Article Ergonomics

Monotony of road environment and driver fatigue: a simulator study

P Thiffault et al.

ACCIDENT ANALYSIS AND PREVENTION (2003)

Add to Collection

Article Psychology, Clinical

How sleep is related to fatigue

M Lavidor et al.

BRITISH JOURNAL OF HEALTH PSYCHOLOGY (2003)

Add to Collection

Article Engineering, Biomedical

Wavelet analysis of surface electromyography to determine muscle fatigue

DK Kumar et al.

IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2003)

Add to Collection

Review Neurosciences

Cognitive neuroscience

TD Albright et al.

CURRENT OPINION IN NEUROBIOLOGY (2000)

Add to Collection

Article Psychology, Biological

Mental fatigue and task control: Planning and preparation

MM Lorist et al.

PSYCHOPHYSIOLOGY (2000)

Add to Collection

© Peeref 2019-2024. All rights reserved.