@article{ref1,
title="Classification of pilot-induced oscillations during in-flight piloting exercises using dry EEG sensor recordings",
journal="Conference proceedings - IEEE engineering in medicine and biology society",
year="2016",
author="Scholl, Clara A. and Chi, Yu Mike and Elconin, Michael and Gray, William R. and Chevillet, Mark A. and Pohlmeyer, Eric A.",
volume="2016",
number="",
pages="4467-4470",
abstract="Pilot-Induced Oscillations (PIOs) are potentially hazardous piloting phenomena in which a pilot's control-inputs and the aircraft control-responses have (for any of a number of possible reasons) become out of phase. During PIOs, aggressive over-controlling on the part of the pilot in order to overcome a perceived lack of control can lead to complete loss of aircraft control. This study shows data recorded from a Cognionics dry electrode system during actual flight exercises can be used on a second-to-second basis to classify whether a pilot was undergoing a PIO event or if a PIO was imminent. If such PIO predictions could be made with adequate accuracy and robustness in real-time, they could form the basis of systems aimed at detecting and/or mitigating PIOs.<p /> <p>Language: en</p>",
language="en",
issn="1557-170X",
doi="10.1109/EMBC.2016.7591719",
url="http://dx.doi.org/10.1109/EMBC.2016.7591719"
}