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Driver behavior modeling toward autonomous vehicles: Comprehensive review
Driver behavior models have been used as input to self-coaching, accident prevention
studies, and develo** driver-assisting systems. In recent years, driver behavior …
studies, and develo** driver-assisting systems. In recent years, driver behavior …
Challenges of driver drowsiness prediction: The remaining steps to implementation
Driver drowsiness has caused a large number of serious injuries and deaths on public roads
and incurred billions of taxpayer dollars in costs. Hence, monitoring of drowsiness is critical …
and incurred billions of taxpayer dollars in costs. Hence, monitoring of drowsiness is critical …
AI-Driven Driver Behavior Assessment Through Vehicle and Health Monitoring for Safe Driving-A Survey
Safe driving is a serious and challenging concern that is dependent on driver behaviors
including aggressive, distracted, fatigued, and drowsy driving. In a smart society, in-vehicle …
including aggressive, distracted, fatigued, and drowsy driving. In a smart society, in-vehicle …
A New ECG Data Processing Approach to Develo** an Accurate Driving Fatigue Detection Framework with Heart Rate Variability Analysis and Ensemble Learning
More than 1.3 million people are killed in traffic accidents annually. Road traffic accidents
are mostly caused by human error. Therefore, an accurate driving fatigue detection system is …
are mostly caused by human error. Therefore, an accurate driving fatigue detection system is …
Structural equation modeling and artificial neural networks approach to predict continued use of mobile taxi booking apps: the mediating role of hedonic motivation
Purpose Mobile taxi booking apps (MTB) have revolutionalized the transportation industry.
As taxis can be hired via smartphones, irrespective of any time or place, the business …
As taxis can be hired via smartphones, irrespective of any time or place, the business …
[HTML][HTML] ECG-Based Driving Fatigue Detection Using Heart Rate Variability Analysis with Mutual Information
One of the WHO's strategies to reduce road traffic injuries and fatalities is to enhance vehicle
safety. Driving fatigue detection can be used to increase vehicle safety. Our previous study …
safety. Driving fatigue detection can be used to increase vehicle safety. Our previous study …
Optimal uncertainty-guided neural network training
The neural network (NN)-based direct uncertainty quantification (UQ) methods have
achieved the state of the art performance since the first inauguration, known as the lower …
achieved the state of the art performance since the first inauguration, known as the lower …
An explainable machine learning approach based on statistical indexes and SVM for stress detection in automobile drivers using electromyographic signals
O Vargas-Lopez, CA Perez-Ramirez… - Sensors, 2021 - mdpi.com
The economic and personal consequences that a car accident generates for society have
been increasing in recent years. One of the causes that can generate a car accident is the …
been increasing in recent years. One of the causes that can generate a car accident is the …
A secure wearable framework for stress detection in patients affected by communicable diseases
The emergence of COVID-19 has drastically altered the lifestyle of people around the world,
resulting in significant consequences on people's physical and mental well-being. Fear of …
resulting in significant consequences on people's physical and mental well-being. Fear of …
Deep-learning-based stress recognition with spatial-temporal facial information
In recent times, as interest in stress control has increased, many studies on stress
recognition have been conducted. Several studies have been based on physiological …
recognition have been conducted. Several studies have been based on physiological …