A review of recent developments in driver drowsiness detection systems
Continuous advancements in computing technology and artificial intelligence in the past
decade have led to improvements in driver monitoring systems. Numerous experimental …
decade have led to improvements in driver monitoring systems. Numerous experimental …
Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review
There are several factors for vehicle accidents during driving such as drivers' negligence,
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …
Tracker for sleepy drivers at the wheel
S Memon, M Memon, S Bhatti… - 2017 11th …, 2017 - ieeexplore.ieee.org
Sleepiness behind the wheel is the major contribution to fatal accidents. Recognizing the
drowsiness of the driver is one of the surest methods for measuring driver drowsiness. In this …
drowsiness of the driver is one of the surest methods for measuring driver drowsiness. In this …
Real-time driver drowsiness detection system using eye aspect ratio and eye closure ratio
S Mehta, S Dadhich, S Gumber… - … computing in science …, 2019 - papers.ssrn.com
Every year many people lose their lives due to fatal road accidents around the world and
drowsy driving is one of the primary causes of road accidents and death. Fatigue and micro …
drowsy driving is one of the primary causes of road accidents and death. Fatigue and micro …
DBGC: Dimension-based generic convolution block for object recognition
The object recognition concept is being widely used a result of increasing CCTV
surveillance and the need for automatic object or activity detection from images or video …
surveillance and the need for automatic object or activity detection from images or video …
[HTML][HTML] A robust and efficient EEG-based drowsiness detection system using different machine learning algorithms
IA Fouad - Ain Shams engineering journal, 2023 - Elsevier
Vehicle accidents on long routes around the world are frequently caused by drowsy drivers.
It is mainly because there is no system that measures alertness. The driver will be notified to …
It is mainly because there is no system that measures alertness. The driver will be notified to …
Real time driver drowsiness detection based on driver's face image behavior using a system of human computer interaction implemented in a smartphone
The main reason for motor vehicular accidents is the driver drowsiness. This work shows a
surveillance system developed to detect and alert the vehicle driver about the presence of …
surveillance system developed to detect and alert the vehicle driver about the presence of …
Driver drowsiness detection using multi-channel second order blind identifications
It is well known that blink, yawn, and heart rate changes give clue about a human's mental
state, such as drowsiness and fatigue. In this paper, image sequences, as the raw data, are …
state, such as drowsiness and fatigue. In this paper, image sequences, as the raw data, are …
Driving fatigue detection with fusion of EEG and forehead EOG
In this paper, we fuse EEG and forehead EOG to detect drivers' fatigue level by using
discriminative graph regularized extreme learning machine (GELM). Twenty-one healthy …
discriminative graph regularized extreme learning machine (GELM). Twenty-one healthy …
Towards next-generation vehicles featuring the vehicle intelligence
YF Payalan, MA Guvensan - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Safe driving and minimizing the number of casualties are the main motivations of
researchers and car companies for decades. They also care very much on saving fuel …
researchers and car companies for decades. They also care very much on saving fuel …