Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

In recent years, driver drowsiness has been one of the major causes of road accidents and
can lead to severe physical injuries, deaths and significant economic losses. Statistics …

In current years, drowsy driver detection is the most necessary procedure to prevent any
road accidents, probably worldwide. The aim of this study was to construct a smart alert …

Student engagement is a key concept in contemporary education, where it is valued as a
goal in its own right. In this paper we explore approaches for automatic recognition of …

Driver drowsiness and distraction are two main reasons for traffic accidents and the related
financial losses. Therefore, researchers have been working for more than a decade on …

Driver's fatigue is one of the major causes of traffic accidents, particularly for drivers of large
vehicles (such as buses and heavy trucks) due to prolonged driving periods and boredom in …

We present the Computer Expression Recognition Toolbox (CERT), a software tool for fully
automatic real-time facial expression recognition, and officially release it for free academic …

In this paper, we review the state-of-the-art technologies for driver inattention monitoring,
which can be classified into the following two main categories: 1) distraction and 2) fatigue …

We present CarSafe, a new driver safety app for Android phones that detects and alerts
drivers to dangerous driving conditions and behavior. It uses computer vision and machine …

Significant advances in embedded technologies hold promise to characterize and monitor
driver's state of alertness and detect critical levels of driver drowsiness in real-time. While …