Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

The use of Blockchain technology has recently become widespread. It has emerged as an
essential tool in various academic and industrial fields, such as healthcare, transportation …

A sleepy driver is arguably much more dangerous on the road than the one who is speeding
as he is a victim of microsleeps. Automotive researchers and manufacturers are trying to …

Using deep learning and a behavioural approach, this study presents a real-time detection
and monitoring system for tired drivers. The objective is to develop and build software that …

The concept of smart cities has become prominent in modern metropolises due to the
emergence of embedded and connected smart devices, systems, and technologies. They …

Accepted: 28 November 2019 Driver drowsiness is one of the reasons for large number of
road accidents these days. With the advancement in Computer Vision technologies …

Facts reveal that numerous road accidents worldwide occur due to fatigue, drowsiness, and
distraction while driving. Few works on the automated drowsiness detection problem …

Every data and kind of data need a physical drive to store it. There has been an explosion in
the volume of images, video, and other similar data types circulated over the internet. Users …

The number of traffic accidents is growing with the ever-increasing vehicles, and most of the
traffic accidents are due to fatigue or distracted driving. Thus, it is necessary to monitor the …

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 …