Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...
Abstract: The increasing number of unmanned aerial vehicles (UAVs) elevates the risk of failures that may lead to infrastructure damage and pose safety hazards to humans. One critical failure mode in ...
Abstract: This paper presents a real-time EEG signal processing system for detecting driver fatigue, implemented as part of a Brain-Computer Interface (BCI) application. The system leverages EEG ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results