[HTML][HTML] Monitoring fatigue and drowsiness in motor vehicle occupants using electrocardiogram and heart rate− a systematic review

A Freitas, R Almeida, H Gonçalves, G Conceição… - … research part F: traffic …, 2024 - Elsevier
Background Fatigue is a complex state resulting in decreased alertness, often accompanied
by drowsiness. Driving fatigue has significantly contributed to traffic accidents globally …

Driver Posture Recognition: A Review

AS Mahomed, AK Saha - IEEE Access, 2024 - ieeexplore.ieee.org
Driver Posture Recognition Systems (DPRS) are indispensable for advancement in vehicle
safety by tracking driver posture using sensors and cameras. These systems monitor the …

[PDF][PDF] Lung X-Ray Images Preprocessing Algorithms for COVID-19 Diagnosing Intelligent Systems.

K Smelyakov, A Chupryna, O Bohomolov, E Vakulik - COLINS, 2022 - ceur-ws.org
Most of the current COVID-19 smart diagnostic systems use convolutional neural networks to
detect foci and classify the stages of the disease on X-rays of the lungs. The conditions for …

Persona-PhysioSync AV: personalized interaction through personality and physiology monitoring in autonomous vehicles

J Giron, Y Sela, L Barenboim, G Gilboa-Freedman… - Sensors, 2024 - mdpi.com
The emergence of autonomous vehicles (AVs) marks a transformative leap in transportation
technology. Central to the success of AVs is ensuring user safety, but this endeavor is …

Machine learning based driver monitoring system: A case study for the Kayoola EVS

A Ziryawulawo, M Kirabo, C Mwikirize… - SAIEE Africa …, 2023 - ieeexplore.ieee.org
With the ever-growing traffic density, the number of road accidents has continued to
increase. Finding solutions to reduce road accidents and improve traffic safety has become …

Driver Drowsiness Detection for Road Safety Using Deep Learning

P Saini, K Kumar, S Kashid, A Negi, A Saini - Robotics, Control and …, 2023 - Springer
Detecting sleepiness in drivers while driving is essential in order to prevent accidents and
reduce the number of mortality caused by drivers slee** behind the wheels. With the rapid …

Driver Drowsiness Detection Using NasNet Mobile, MobileNetV2, and EfficientNetB0

TD Wunan, PC Jappy, S Aurelia… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
Drowsiness in drivers is a common phenomenon often experienced by commuters. It is also
a major contributor to the number of deaths in motor vehicle traffic incidents, causing around …

Driver Drowsiness Detection Model System Using EAR

R Pradhan, P Varshney… - … Conference on Applied …, 2022 - ieeexplore.ieee.org
To make a Driver Drowsiness Detection that can be used to check if the driver is drowsy or
not. Since more than half of vehicle-related accidents occur due to human error, many these …

Awake Guard: An Arduino-Based Real-Time System for Enhancing Driver Safety Through Drowsiness Detection

S Varshini, V Vishweshwaran - … International Conference on …, 2023 - ieeexplore.ieee.org
The driver drowsiness detection system using Arduino paper seeks to address the issue of
driver drowsiness while also promoting road safety. The system detects indicators of driver …

Sleepy Drivers: Eye-State and Drowsiness Monitoring Using Face Video

TSC Esteves - 2023 - search.proquest.com
Driver drowsiness has been identified as a major contributor to road accidents, accounting
for up to 20% of all incidents, often resulting in fatalities and severe injuries. Even though …