Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2020.108927
Abstract: BACKGROUND Detecting human drowsiness during some critical works like vehicle driving, crane operating, mining blasting, etc. is one of the safeguards to prevent accidents. Among several drowsiness detection (DD) methods, a combination of neuroscience and… read more here.
Keywords: detecting drowsiness; time; time domain; domain features ... See more keywords
A Novel Algorithm for Detecting the Drowsiness Onset in Real-Time
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3167708
Abstract: Traffic accidents due to drivers falling asleep while driving is an important cause of death, and effective techniques for coping with this phenomenon are needed. In this paper we present a simple, yet effective algorithm,… read more here.
Keywords: algorithm detecting; onset real; real time; detecting drowsiness ... See more keywords