Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3025818
Abstract: Fatigue driving has become one of the most common causes for traffic accidents. In this article, we proposed an effective fatigue detection method based on eye status with pupil and iris segmentation. The segmented feature… read more here.
Keywords: fatigue; fatigue detection; pupil iris; method ... See more keywords
A Novel Machine Vision-Based 3D Facial Action Unit Identification for Fatigue Detection
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.2974263
Abstract: Fatigue has been attributed to traffic accident with higher fatality rate and causes severe damage to the surroundings compared to accidents where drivers are alert. This study presents and demonstrates an innovative driver fatigue detection… read more here.
Keywords: fatigue detection; method; facial action; machine vision ... See more keywords
RF-DCM: Multi-Granularity Deep Convolutional Model Based on Feature Recalibration and Fusion for Driver Fatigue Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3017513
Abstract: Fatigue driving is one of the main causes of traffic accidents. For real-world driver fatigue detection, the large pose deformations exhibited by the captured global face significantly increase the difficulty of extracting effective features. Furthermore,… read more here.
Keywords: multi granularity; driver; fatigue detection; granularity ... See more keywords
Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN
Sign Up to like & getrecommendations! Published in 2020 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2020/7251280
Abstract: With a focus on fatigue driving detection research, a fully automated driver fatigue status detection algorithm using driving images is proposed. In the proposed algorithm, the multitask cascaded convolutional network (MTCNN) architecture is employed in… read more here.
Keywords: detection; driver fatigue; convolutional neural; fatigue detection ... See more keywords
Random Subspace K-NN Based Ensemble Classifier for Driver Fatigue Detection Utilizing Selected EEG Channels
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380501
Abstract: Received: 6 September 2021 Accepted: 2 October 2021 Nowadays, many studies have been conducted to assess driver fatigue, as it has become one of the leading causes of traffic crashes. However, with the use of… read more here.
Keywords: ensemble classifier; fatigue; fatigue detection; driver fatigue ... See more keywords
EEG driving fatigue detection based on log-Mel spectrogram and convolutional recurrent neural networks
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2023.1136609
Abstract: Driver fatigue detection is one of the essential tools to reduce accidents and improve traffic safety. Its main challenge lies in the problem of how to identify the driver's fatigue state accurately. Existing detection methods… read more here.
Keywords: fatigue detection; mel spectrogram; detection; recurrent neural ... See more keywords
Design and Analysis of a Pitch Fatigue Detection System for Adaptive Baseball Learning
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Psychology"
DOI: 10.3389/fpsyg.2021.741805
Abstract: Owing to the rapid development of information and communication technologies, such as the Internet of Things, artificial intelligence, and computer vision, in recent years, the concept of smart sports has been proposed. A pitch fatigue… read more here.
Keywords: adaptive baseball; baseball; baseball learning; pitch fatigue ... See more keywords
Adaptive Driver Face Feature Fatigue Detection Algorithm Research
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13085074
Abstract: Fatigued driving is one of the leading causes of traffic accidents, and detecting fatigued driving effectively is critical to improving driving safety. Given the variety and individual variability of the driving surroundings, the drivers’ states… read more here.
Keywords: fatigue detection; face feature; driver face; detection algorithm ... See more keywords
Driver Fatigue Detection System Using Electroencephalography Signals Based on Combined Entropy Features
Sign Up to like & getrecommendations! Published in 2017 at "Applied Sciences"
DOI: 10.3390/app7020150
Abstract: Driver fatigue has become one of the major causes of traffic accidents, and is a complicated physiological process. However, there is no effective method to detect driving fatigue. Electroencephalography (EEG) signals are complex, unstable, and… read more here.
Keywords: detection system; driver fatigue; fatigue detection; electroencephalography ... See more keywords
Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24121715
Abstract: Driving fatigue is the main cause of traffic accidents, which seriously affects people’s life and property safety. Many researchers have applied electroencephalogram (EEG) signals for driving fatigue detection to reduce negative effects. The main challenges… read more here.
Keywords: driving fatigue; non hair; model; eeg ... See more keywords