Results 11 to 20 of about 163,027 (257)

A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems

open access: yesSensors, 2021
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that is often approached using neurophysiological signals as the basis for building a reliable system.
Igor Stancin, Mario Cifrek, Alan Jovic
doaj   +1 more source

On the Handwriting Tasks’ Analysis to Detect Fatigue [PDF]

open access: yesApplied Sciences, 2020
Practical determination of physical recovery after intense exercise is a challenging topic that must include mechanical aspects as well as cognitive ones because most of physical sport activities, as well as professional activities (including brain–computer interface-operated systems), require good shape in both of them.
Manuel-Vicente Garnacho-Castaño   +2 more
openaire   +2 more sources

Efficient and Robust Driver Fatigue Detection Framework Based on the Visual Analysis of Eye States

open access: yesPromet (Zagreb), 2023
Fatigue detection based on vision is widely employed in vehicles due to its real-time and reliable detection results. With the coronavirus disease (COVID-19) outbreak, many proposed detection systems based on facial characteristics would be unreliable ...
Yancheng Ling, Xiaoxiong Weng
doaj   +1 more source

Fatigue Detection (DTIK) : Monitoring a Fatigue

open access: yesJurnal Keperawatan Silampari, 2023
This study aims to develop an application to detect fatigue and educate people about diabetes. The research method used is Research and Development (R&D). The analysis results obtained the conformity of the validation results of media experts 1 and 2 (kappa 0.654; p = 0.001).
Rumentalia Sulistini   +3 more
openaire   +1 more source

A comprehensive review of approaches to detect fatigue using machine learning techniques

open access: yesChronic Diseases and Translational Medicine, 2022
In the past decades, there have been numerous advancements in the field of technology. This has led to many scientific breakthroughs in the field of medical sciences.
Rohit Hooda, Vedant Joshi, Manan Shah
doaj   +1 more source

ECG-Based Driving Fatigue Detection Using Heart Rate Variability Analysis with Mutual Information

open access: yesInformation, 2023
One of the WHO’s strategies to reduce road traffic injuries and fatalities is to enhance vehicle safety. Driving fatigue detection can be used to increase vehicle safety.
Junartho Halomoan   +4 more
doaj   +1 more source

Detecting Fatigue in the Workplace

open access: yesHealth Informatics - An International Journal, 2021
This paper evaluates current case studies on how companies within the United States detect fatigue in the workplace, and how it is addressed through training. Workplace fatigue is one of the highest risks for safety sensitive positions and presents an imminent danger to employees and their coworkers.
Tyler D. Asher, Ian Mc Andrew
openaire   +1 more source

On the Analysis of Saturated Pressure to Detect Fatigue

open access: yes, 2023
This paper examines the saturation of pressure signals during various handwriting tasks, including drawings, cursive text, capital words text, and signature, under different levels of fatigue. Experimental results demonstrate a significant rise in the proportion of saturated samples following strenuous exercise in tasks performed without resting wrist.
Marcos Faúndez-Zanuy   +3 more
openaire   +2 more sources

Fatigue Detection in SSVEP-BCIs Based on Wavelet Entropy of EEG

open access: yesIEEE Access, 2021
Among various types of brain computer interfaces (BCIs), steady state visually evoked potential (SSVEP) based BCIs can provide high information transfer rate (ITR), however the users could suffer serious fatigue that may induce discomfort, health hazards
Yufan Peng   +5 more
doaj   +1 more source

Fatigue Detection

open access: yesCoRR, 2019
Nowadays, there are many fatigue detection methods and the majority of them are tracking eye in real-time using one or two cameras to detect the physical responses in eyes. It is indicated that the responses in eyes have high relativity with driver fatigue.
Ashish Verma   +2 more
openaire   +2 more sources

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