Results 71 to 80 of about 1,158 (175)

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

Computer Vision-Based Drowsiness Detection Using Handcrafted Feature Extraction for Edge Computing Devices

Applied Sciences
Drowsy 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

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, Changyan Liu, Kuanming Chen, Jianguo Kong, Qicong Han, Tiantian Zhao   +5 more
doaj   +1 more source

Evaluating Automatic Braking Mechanisms for Reducing Driver Fatigue in Low‐Speed Traffic Conditions: A Systematic Review

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, Alya Syafikah Mahadi, Hazril Md. Isa, Siti Fauziah Toha, Mohd Azan Mohammed Sapardi, Jose E. Naranjo   +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, José Bestier Padilla B, Ramiro Arango   +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, Minjae Kim, Hayoung Jung, Dohoon Kwon, Sunwoo Choi, Heecheon You   +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, Karla Figueiredo, Marley Vellasco, René González   +3 more
doaj   +1 more source

Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation

Applied Sciences, 2021
Driver fatigue is the culprit of most traffic accidents. Visual technology can intuitively judge whether the driver is in the state of fatigue. A driver fatigue detection system based on the residual channel attention network (RCAN) and head pose ...
Mu Ye, Weiwei Zhang, Pengcheng Cao, Kangan Liu   +3 more
doaj   +1 more source

Subjective awareness of sleepiness while driving in younger and older adults

Journal of Sleep Research, Volume 33, Issue 1, February 2024.
Summary Understanding whether drivers can accurately assess sleepiness is essential for educational campaigns advising drivers to stop driving when feeling sleepy. However, few studies have examined this in real‐world driving environments, particularly among older drivers who comprise a large proportion of all road users.
Anna W. T. Cai, Jessica E. Manousakis, Bikram Singh, Elly Francis‐Pester, Jonny Kuo, Katherine J. Jeppe, Shantha M. W. Rajaratnam, Michael G. Lenné, Mark E. Howard, Clare Anderson   +9 more
wiley   +1 more source

EEG‐Based Emotion Recognition Datasets for Virtual Environments: A Survey

Applied Computational Intelligence and Soft Computing, Volume 2024, Issue 1, 2024.
One of the most important problems in virtual environments (VEs) is the difficulty users face when trying to deal with increasingly complex systems. Thus, giving machines the ability to understand human emotions would make interactions easier and more reliable.
Hussein Ali Hamzah, Kasim K. Abdalla, Jyotismita Chaki   +2 more
wiley   +1 more source