A Physiological Sensor-Based Android Application Synchronized with a Driving Simulator for Driver Monitoring [PDF]
Sensors, 2019 In this paper, we present an Android application to control and monitor the physiological sensors from the Shimmer platform and its synchronized working with a driving simulator.
David González-Ortega +3 more
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Exploring Monitoring Systems Data for Driver Distraction and Drowsiness Research
Sensors, 2020 Driver inattention is a major contributor to road crashes. The emerging of new driver monitoring systems represents an opportunity for researchers to explore new data sources to understand driver inattention, even if the technology was not developed with
António Lobo +2 more
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Experimental Validation of a Driver Monitoring System
Machines, 2023 This paper presents an analysis of the risk of neck injury in vehicle occupants as a consequence of an impact. A review of the formulation of indexes that are used in the assessment and investigation of neck injury risk is discussed with the aim of ...
María Garrosa +3 more
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Smartphone-based system for driver anger scale estimation using neural network on continuous wavelet transformation [PDF]
AUT Journal of Mathematics and Computing, 2020 Monitoring of the driver decreases accidents by reducing the risky behaviors and causes decreases the fuel consumption by preventing aggressive behavior. But this monitoring is costly due to built-in equipment.
Hamid Reza Eftekhari
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Design of Smart Steering Wheel for Unobtrusive Health and Drowsiness Monitoring
Sensors, 2021 This article describes the design of a smart steering wheel intended for use in unobtrusive health and drowsiness monitoring. The aging population, cardiovascular disease, personalized medicine, and driver fatigue were significant motivations for ...
Branko Babusiak +4 more
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Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance
Sensors, 2023 The majority of car accidents worldwide are caused by drowsy drivers. Therefore, it is important to be able to detect when a driver is starting to feel drowsy in order to warn them before a serious accident occurs.
Andrea Amidei +6 more
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A comprehensive review of approaches to detect fatigue using machine learning techniques
Chronic Diseases and Translational Medicine, 2022 In the past decades, there have been numerous advancements in the field of technology. This has led to many scientific breakthroughs in the field of medical sciences.
Rohit Hooda, Vedant Joshi, Manan Shah
doaj +1 more source
Head Tracking in Automotive Environments for Driver Monitoring Using a Low Resolution Thermal Camera
Vehicles, 2022 The steady enhancement of driver assistance systems and the automation of driving functions are in need of advanced driver monitoring functionalities. To evaluate the driver state, several parameters must be acquired. A basic parameter is the position of
Christoph Weiss +6 more
doaj +1 more source
IEEE Access, 2023 The exponential growth in road accidents has led to a need for continuous driver monitoring to enhance road safety. Existing techniques rely on vehicle sensor-based and behavior analysis-based approaches, where the behavior analysis-based approaches are ...
M. Adil Khan +4 more
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Trends and Future Prospects of the Drowsiness Detection and Estimation Technology
Sensors, 2021 Drowsiness is among the important factors that cause traffic accidents; therefore, a monitoring system is necessary to detect the state of a driver’s drowsiness.
Toshiya Arakawa
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