Motor vehicle crashes are great threats to our life, which may result in numerous fatalities, as
well as tremendous economic and societal costs. Driver inattention, either distraction or …

In this paper, we propose simultaneous and sequential hybrid brain-computer interfaces
(hBCIs) that incorporate electroencephalography (EEG) and electromyography (EMG) …

Continuous estimation the driver's take-over readiness is critical for safe and timely transfer
of control during the failure modes of autonomous vehicles. In this article, we propose a data …

Drivers still play an important role in driving safety despite the presence of driverless
vehicles. Over the last few years, millions of deaths are due to traffic accidents, and more …

Different systems based on Artificial Intelligence (AI) techniques are currently used in
relevant areas such as healthcare, cybersecurity, natural language processing, and self …

Hand pose estimation (HPE) can be used for a variety of human–computer interaction
applications, such as gesture-based control for physical or virtual/augmented reality devices …

Driver distraction behavior causes a large number of traffic accidents every year, resulting in
economic losses and injuries. Currently, the driver still plays an important role in the driving …

Driver distraction behavior recognition is currently a significant study area that involves
analyzing and identifying various movements, actions, and patterns exhibited by drivers …

To make safe transitions from autonomous to manual control, a vehicle must have a
representation of the awareness of driver state; two metrics which quantify this state are the …

Real-time driving distraction detection has garnered significant attention due to its potential
to build various driving safety protections such as distraction warnings and driver assistance …