A systematic review of physiological signals based driver drowsiness detection systems

AA Saleem, HUR Siddiqui, MA Raza, F Rustam… - Cognitive …, 2023 - Springer
Driving a vehicle is a complex, multidimensional, and potentially risky activity demanding full
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …

Trends and future prospects of the drowsiness detection and estimation technology

T Arakawa - Sensors, 2021 - mdpi.com
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. Driver monitoring …

IoT-based non-intrusive automated driver drowsiness monitoring framework for logistics and public transport applications to enhance road safety

MA Khan, T Nawaz, US Khan, A Hamza… - Ieee …, 2023 - ieeexplore.ieee.org
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 …

Printed and flexible ECG electrodes attached to the steering wheel for continuous health monitoring during driving

JM Warnecke, N Ganapathy, E Koch, A Dietzel… - Sensors, 2022 - mdpi.com
Continuous health monitoring in a vehicle enables the earlier detection of symptoms of
cardiovascular diseases. In this work, we designed flexible and thin electrodes made of …

Stress Level Detection Based on the Capacitive Electrocardiogram Signals of Driving Subjects

T Škorić - Sensors, 2023 - mdpi.com
The automotive industry and scientific community are making efforts to develop innovative
solutions that would increase successful driver performance in preventing crashes caused …

Advanced e-call support based on non-intrusive driver condition monitoring for connected and autonomous vehicles

M Minea, CM Dumitrescu, IM Costea - Sensors, 2021 - mdpi.com
Background: The growth of the number of vehicles in traffic has led to an exponential
increase in the number of road accidents with many negative consequences, such as loss of …

A lightweight fatigue driving detection method based on facial features

JW Zhu, YE Ma, J Xia, XG Zhou - Signal, Image and Video Processing, 2024 - Springer
Fatigue driving is a significant factor in traffic accidents, underscoring the importance of
driver fatigue detection. Existing fatigue detection methods are susceptible to factors such as …

Vision-Based Fatigue Detection In Drivers Using Multi-Facial Feature Fusion

S Das, R Bhargava - 2023 15th International Conference on …, 2023 - ieeexplore.ieee.org
Fatigued driving has been reported to be a major cause of road accidents claiming millions
of lives worldwide. Studies have shown that most road accidents occur either at night or …

Cognitive task analysis-driven intelligent steering wheel interaction design

F You, Y Li, Q Fu, J Zhang - Journal of Intelligent & Fuzzy …, 2024 - content.iospress.com
With the increasing levels of intelligence and automation, the relationship between humans
and vehicles has evolved from a utilitarian perspective to a partnership. Among the crucial …

Dual-Modal Drowsiness Detection to Enhance Driver Safety.

YX Chew, SFA Razak, S Yogarayan… - Computers …, 2024 - search.ebscohost.com
In the modern world, the increasing prevalence of driving poses a risk to road safety and
necessitates the development and implementation of effective monitoring systems. This …