A multimodal driver monitoring benchmark dataset for driver modeling in assisted driving automation [PDF]
Scientific DataIn driver monitoring various data types are collected from drivers and used for interpreting, modeling, and predicting driver behavior, and designing interactions.
Khazar Dargahi Nobari, Torsten Bertram
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A Multidimensional Benchmark of Public EEG Datasets for Driver State Monitoring in Brain–Computer Interfaces [PDF]
SensorsElectroencephalography (EEG)-based brain-computer interfaces (BCIs) hold significant potential for enhancing driver safety through real-time monitoring of cognitive and affective states.
Sirine Ammar +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
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DriverMVT: In-Cabin Dataset for Driver Monitoring including Video and Vehicle Telemetry Information
Data, 2022 Developing a driver monitoring system that can assess the driver’s state is a prerequisite and a key to improving the road safety. With the success of deep learning, such systems can achieve a high accuracy if corresponding high-quality datasets are ...
Walaa Othman +3 more
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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
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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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