Drowsiness detection using combined neuroimaging: Overview and Challenges
It addresses drowsiness detection, a critical safety issue in domains like transportation, but is incremental as it provides an overview rather than new methods.
This paper investigates the application of combined neuroimaging-based brain-computer interfaces, such as EEG+fNIRS and EEG+fMRI, to detect drowsiness or sleep inertia, positioning itself as the only overview in this specific area.
Brain-computer interfaces (BCIs) collect, analyze, and convert brain activity into instructions and send it to the detection system. BCI is becoming popular in under-brain activities in certain conditions such as attention-based tasks. Researchers have recently used combined neuroimaging techniques such as EEG+fNIRS and EEG+fMRI to solve many real-world problems. Drowsiness detection or sleep inertia is one of the central research areas for the combined neuroimaging techniques. This paper aims to investigate the recent application of combined neuroimaging-based BCI on drowsiness detection or sleep inertia. To this end, this is the only overview paper of the combined neuroimaging-based drowsiness detection system.