Results 71 to 80 of about 1,740 (178)
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
Applied SciencesDrowsy driving contributes to over 6000 fatal incidents annually in the US, underscoring the need for effective, non-intrusive drowsiness detection. This study seeks to address detection challenges, particularly in non-standard head positions.
Valerius Owen, Nico Surantha
doaj +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.
core
Multi‐Fatigue Feature Selection and Fuzzy Logic‐Based Intelligent Driver Drowsiness Detection
IET Image Processing, Volume 19, Issue 1, January/December 2025.This study proposes a non‐intrusive real‐time drowsiness detection system, leveraging image processing methodologies and advanced fuzzy logic methods. It also introduces improvements to the Viola‐Jones algorithm for swift and precise driver face and mouth identification. ABSTRACT Driver drowsiness poses a critical threat, frequently resulting in highly
Mohan Arava, Divya Meena Sundaram
wiley +1 more source
Controller Fatigue State Detection Based on ES-DFNN
Aerospace, 2021 The fatiguing work of air traffic controllers inevitably threatens air traffic safety. Determining whether eyes are in an open or closed state is currently the main method for detecting fatigue in air traffic controllers.
Haijun Liang +5 more
doaj +1 more source
Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.Traffic delays are a common challenge for drivers in large cities worldwide. During these delays, drivers must maintain a safe distance from nearby vehicles while avoiding collisions with pedestrians and motorcyclists. This needs frequently alternate pressing and releasing the brake and accelerator pedals, preserving low speeds. Research indicates that
Salmiah Ahmad +5 more
wiley +1 more source
DETECCIÓN DE FATIGA AL CONDUCIR UTILIZANDO TÉCNICAS DE VISIÓN POR COMPUTADOR
Revista de Investigaciones Universidad del Quindío, 2012 La fatiga al conducir es uno de las principales causas de accidentes de tránsito. Los sistemas de detección de fatiga basados en visión por computador tienen gran potencial dada su característica de no-invasividad.
Alejandro Jaramillo I +2 more
doaj +1 more source
Effects of a Motion Seat System on Driver’s Passive Task-Related Fatigue: An On-Road Driving Study
Sensors, 2020 Passive task-related (TR) fatigue caused by monotonous driving can negatively affect driving safety by impairing driver alertness and performance. This study aims to evaluate the effectiveness of a motion seat system on the driver’s passive TR fatigue in
Seunghoon Lee +5 more
doaj +1 more source
A Portable Fuzzy Driver Drowsiness Estimation System
Sensors, 2020 The adequate automatic detection of driver fatigue is a very valuable approach for the prevention of traffic accidents. Devices that can determine drowsiness conditions accurately must inherently be portable, adaptable to different vehicles and drivers ...
Alimed Celecia +3 more
doaj +1 more source