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.
@article{arxiv.2202.13344,
title = {Drowsiness detection using combined neuroimaging: Overview and Challenges},
author = {A S M Sharifuzzaman Sagar and Tajken Salehen and Md Abdur Rob},
journal= {arXiv preprint arXiv:2202.13344},
year = {2022}
}
Comments
This paper is submitted to the ICT Express Journal