Results 61 to 70 of about 1,158 (175)
A neural network to classify fatigue from human-computer interaction [PDF]
, 2016 Fatigue, especially in its mental form, is one of the most worrying health problems nowadays. It affects not only health but also motivation, emotions and feelings and has an impact both at the individual and organizational level.
Carneiro, Davide Rua +3 more
core +1 more source
Towards a human eye behavior model by applying Data Mining Techniques on Gaze Information from IEC [PDF]
, 2008 In this paper, we firstly present what is Interactive Evolutionary Computation (IEC) and rapidly how we have combined this artificial intelligence technique with an eye-tracker for visual optimization.
Baccino, Thierry +2 more
core +2 more sources
Driver EEG Attention Monitoring Based on Wavelet Packet Decomposition and BiLSTM
Journal of Electrical and Computer Engineering, Volume 2026, Issue 1, 2026.Aiming at the problem of insufficient feature extraction and low efficiency of dynamic time series modeling caused by the nonstationarity of driver electroencephalogram (EEG) signals in driving scenarios, this paper constructed an innovative framework that integrates wavelet packet decomposition (WPD) and bidirectional long short‐term memory (BiLSTM ...
Qiuyun Wang +3 more
wiley +1 more source
Automated drowsiness detection for improved driving safety [PDF]
, 2008 Several approaches were proposed for the detection and prediction of drowsiness. The approaches can be categorized as estimating the fitness of duty, modeling the sleep-wake rhythms, measuring the vehicle based performance and online operator monitoring ...
Bartlett, Marian +7 more
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Driver Drowsiness Prediction Based on Multiple Aspects Using Image Processing Techniques
IEEE Access, 2022 The majority of the accidents were happening perpetually due to driver drowsiness over the decades. Automation has been playing key role in many fields to provide conformity and improve the quality of life of the users.
V. Uma Maheswari +5 more
doaj +1 more source
A Study of Integrated Driver fatigue Judging Algorithm Based on Principal Component Analysis
MATEC Web of Conferences, 2018 As the number of vehicles increases, the probability of fatigue driving rises accordingly, resulting in a boost in the accident rate. Based on principal component analysis, the paper presents a fatigue monitoring algorithm that integrates with facial ...
Ma Zhipeng, Yao Shuwan, Li Junxian
doaj +1 more source
Mercury: a vision-based framework for Driver Monitoring [PDF]
, 2020 In this paper, we propose a complete framework, namely Mercury, that combines Computer Vision and Deep Learning algorithms to continuously monitor the driver during the driving activity.
Guido Borghi +3 more
core +1 more source
IET Collaborative Intelligent Manufacturing, Volume 7, Issue 1, January/December 2025.Cognitive workload (CWL) assessment is increasingly important in Industry 4.0 and 5.0, with a growing emphasis on multimodal approaches that combine physiological measures (e.g., EEG, eye tracking, heart rate) and subjective evaluations. This review of 69 articles highlights advancements in real‐time monitoring, context‐specific applications and ...
Andrea Lucchese +2 more
wiley +1 more source
Driver Sleepiness Detection System Based on Eye Movements Variables
Advances in Mechanical Engineering, 2013 Driver sleepiness is a hazard state, which can easily lead to traffic accidents. To detect driver sleepiness in real time, a novel driver sleepiness detection system using support vector machine (SVM) based on eye movements is proposed.
Lisheng Jin +5 more
doaj +1 more source
La fatigue : est-elle détectable par les traits du visage ? [PDF]
, 2015 1. Introduction Le sommeil occupe un tiers de notre vie, mais n'a été, jusqu'à maintenant, que très peu étudié. En effet, dans les spécialisations médicales suisses, il n'existe pas de FMH dans ce domaine.
BUDOWSKI, A.
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