In recent years, deep learning strategies started to outshine traditional machine learning
methods in a few fields, with Computer Vision being one of the most noticeable ones. The …

There are a variety of potential uses for the classification of eye conditions, including
tiredness detection, psychological condition evaluation, etc. Because of its significance …

Human factors are a primary cause of vehicle accidents. Driver monitoring systems, utilizing
a range of sensors and techniques, offer an effective method to monitor and alert drivers to …

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 …

Driver drowsiness detection using videos/images is one of the most essential areas in
today's time for driver safety. The development of deep learning techniques, notably …

Road accidents are the main cause of death among the human population. Distracted and
drowsy driving takes thousands of lives every year around the world. Subsequently, to …

The primary focus of this paper is to produce a proof of concept for extracting drowsiness
information from videos to help elderly living on their own. To quantify yawning, eyelid and …

There are a variety of potential uses for the classification of eye conditions, including
tiredness detection, psychological condition evaluation, etc. Because of its significance …

Driver fatigue and drowsiness pose significant risks to road safety, necessitating advanced
monitoring systems to mitigate accidents. This research addresses this concern through the …