Non-Invasive Driver Drowsiness Detection System [PDF]
Sensors, 2021 Drowsiness when in command of a vehicle leads to a decline in cognitive performance that affects driver behavior, potentially causing accidents. Drowsiness-related road accidents lead to severe trauma, economic consequences, impact on others, physical ...
Hafeez Ur Rehman Siddiqui +6 more
doaj +4 more sources
A Review of EEG Signal Features and Their Application in Driver Drowsiness Detection Systems [PDF]
Sensors, 2021 Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that is often approached using neurophysiological signals as the basis for building a reliable system.
Igor Stancin, Mario Cifrek, Alan Jovic
doaj +2 more sources
System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures [PDF]
Sensors, 2023 The amount of road accidents caused by driver drowsiness is one of the world’s major challenges. These accidents lead to numerous fatal and non-fatal injuries which impose substantial financial strain on individuals and governments every year.
Jaspreet Singh Bajaj +5 more
doaj +2 more sources
Driver drowsiness shield (DDSH): a real-time driver drowsiness detection system [PDF]
ROBOMECH JournalDetecting drowsiness is crucial for improving traffic safety and preventing fatigue-related accidents. This paper aims to develop an advanced real-time drowsiness detection system using deep learning algorithms. For this purpose, we utilized an eye image
Archita Bhanja +4 more
doaj +2 more sources
A Review of Recent Developments in Driver Drowsiness Detection Systems [PDF]
Sensors, 2022 Continuous advancements in computing technology and artificial intelligence in the past decade have led to improvements in driver monitoring systems. Numerous experimental studies have collected real driver drowsiness data and applied various artificial ...
Yaman Albadawi +2 more
doaj +2 more sources
Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning [PDF]
Scientific ReportsDriver drowsiness is a critical issue in transportation systems and a leading cause of traffic accidents. Common factors contributing to accidents include intoxicated driving, fatigue, and sleep deprivation.
Zakwan AlArnaout +4 more
doaj +2 more sources
Real-time driver drowsiness detection using transformer architectures: a novel deep learning approach [PDF]
Scientific ReportsDriver drowsiness is a leading cause of road accidents, resulting in significant societal, economic, and emotional losses. This paper introduces a novel and robust deep learning-based framework for real-time driver drowsiness detection, leveraging state ...
Osama F. Hassan +4 more
doaj +2 more sources
A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio [PDF]
SensorsCurrently, the number of vehicles in circulation continues to increase steadily, leading to a parallel increase in vehicular accidents. Among the many causes of these accidents, human factors such as driver drowsiness play a fundamental role.
Ruben Florez +4 more
doaj +2 more sources
Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers. [PDF]
Sci RepYadav A +9 more
europepmc +3 more sources
Joint Driver State Classification Approach: Face Classification Model Development and Facial Feature Analysis Improvement [PDF]
SensorsDriver drowsiness remains a critical factor in road safety, necessitating the development of robust detection methodologies. This study presents a dual-framework approach that integrates a convolutional neural network (CNN) and a facial landmark analysis
Farkhod Akhmedov +3 more
doaj +2 more sources