Machine learning and deep learning techniques for driver fatigue and drowsiness detection: a review

SA El-Nabi, W El-Shafai, ESM El-Rabaie… - Multimedia Tools and …, 2024 - Springer
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 …

Expression Recognition of Multiple Faces Using a Convolution Neural Network Combining the Haar Cascade Classifier

JF Yeh, KM Lin, CC Chang, TH Wang - Applied Sciences, 2023 - mdpi.com
Facial expression serves as the primary means for humans to convey emotions and
communicate social signals. In recent years, facial expression recognition has become a …

Automated facial characterization and image retrieval by convolutional neural networks

STH Shah, SAH Shah, SA Qureshi… - Frontiers in Artificial …, 2023 - frontiersin.org
Introduction Develo** efficient methods to infer relations among different faces consisting
of numerous expressions or on the same face at different times (eg, disease progression) is …

Driver Drowsiness Detection System Using Artificial Intelligence

B Bhusan - 2023 International Conference on Computing …, 2023 - ieeexplore.ieee.org
Technology has advanced quickly to enhance the quality of human life. Bicycles were the
primary means of transportation during the early 1900s. It's impossible to envision living …

[PDF][PDF] A Deep Learning-Based System for Driver Fatigue Detection

A Benmohamed, H Zarzour - Ingenierie des Systemes d' …, 2024 - researchgate.net
Driver fatigue is still a principal cause of traffic accidents. While many ways allowing fatigue
detection, a diversity of obstacles such as head position, luminosity, and facial expressions …

[PDF][PDF] RTD3–Real Time Driver Drowsiness Detection System Using CNN on Inception V3 Model

SS Tippannavar, R Jain, S Ramesh - 2023 - researchgate.net
There is strong evidence that worldwide, drowsiness is the leading cause of traffic accidents.
The consequences of fatigued or sleepy driving may be significantly worse for commercial …

Drowsiness detection using Raspberry Pi for EVs and smart cars

W Ooppakaew, J Onshaunjit… - Journal of Applied …, 2024 - ph01.tci-thaijo.org
Drowsiness detection is highly significant in assuring the safety and effectiveness of
intelligent automobiles and electric vehicles (EVs). It used to be that managing driver fatigue …