title: Classification of pilot-induced oscillations during in-flight piloting exercises using dry EEG sensor recordings.
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.
authors.forename: Clara A
authors.initials: CA
authors.lastname: Scholl
authors.forename: Yu Mike
authors.initials: YM
authors.lastname: Chi
authors.forename: Michael
authors.initials: M
authors.lastname: Elconin
authors.forename: William R
authors.initials: WR
authors.lastname: Gray
authors.forename: Mark A
authors.initials: MA
authors.lastname: Chevillet
authors.forename: Eric A
authors.initials: EA
authors.lastname: Pohlmeyer
mesh_terms: D000337:Aerospace Medicine; D000401:Aircraft; D004569:Electroencephalography; D015444:Exercise; D006801:Humans; D000070356:Pilots