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Drowsiness/alertness algorithm development and validation using synchronized EEG and cognitive performance to individualize a generalized model

RR Johnson, DP Popovic, RE Olmstead… - Biological …, 2011 - Elsevier
A great deal of research over the last century has focused on drowsiness/alertness
detection, as fatigue-related physical and cognitive impairments pose a serious risk to public
health and safety. Available drowsiness/alertness detection solutions are unsatisfactory ...
All 2 versions

Face Detection for Drivers' Drowsiness Using Computer Vision

VV Dixit, AV Deshpande… - 5th Kuala Lumpur …, 2011 - books.google.com
Face Detection for Drivers' Drowsiness Using Computer Vision VV Dixit, AV Deshpande, and
D. Ganage Sinhgad College of Engineering, Pune, SKN College of Engineering Pune
Abstract—In the present study, a vehicle driver drowsiness warning or alertness system ...
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EOG-based drowsiness detection: Comparison between a fuzzy system and two supervised learning classifiers

A Picot, S Charbonnier… - 2011 - hal.archives-ouvertes.fr
Drowsiness is a serious problem, which causes a large number of car crashes every year.This
paper presents an original drowsiness detection method based on the fuzzy merging of several
eye blinking features extracted from an electrooculogram (EOG). These features are ...

[CITATION] Independence of efficacy and drowsiness with cyclobenzaprine extended-release for the treatment of acute low back and neck spasm

B McCarberg, C Altman… - The Journal of Pain, 2011 - Elsevier

Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm

RN Khushaba, S Kodagoda, S Lal… - … IEEE Transactions on, 2011 - ieeexplore.ieee.org
Copyright (c) 2010 IEEE. Personal use is permitted. For any other purposes, Permission must
be obtained from the IEEE by emailing pubs-permissions@ieee.org. ... This article has been
accepted for publication in a future issue of this journal, but has not been fully edited. ...
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