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[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 …
by drowsiness. Driving fatigue has significantly contributed to traffic accidents globally …
Driver Posture Recognition: A Review
Driver Posture Recognition Systems (DPRS) are indispensable for advancement in vehicle
safety by tracking driver posture using sensors and cameras. These systems monitor the …
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.
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 …
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
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 …
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
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 …
increase. Finding solutions to reduce road accidents and improve traffic safety has become …
Driver Drowsiness Detection for Road Safety Using Deep Learning
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 …
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 …
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 …
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 …
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 …
for up to 20% of all incidents, often resulting in fatalities and severe injuries. Even though …