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Aircraft Cockpit Accommodation: A Pilot Study

dc.contributor.authorSchnare, Andrew
dc.contributor.copyright-releaseNot Applicableen_US
dc.contributor.degreeMaster of Scienceen_US
dc.contributor.departmentSchool of Health & Human Performanceen_US
dc.contributor.ethics-approvalReceiveden_US
dc.contributor.external-examinerDr. Sasho MacKenzieen_US
dc.contributor.graduate-coordinatorDr. Melanie Keatsen_US
dc.contributor.manuscriptsNoen_US
dc.contributor.thesis-readerDr. Heather Neyedlien_US
dc.contributor.thesis-readerDr. Michel Ladouceuren_US
dc.contributor.thesis-supervisorDr. John Kozeyen_US
dc.date.accessioned2021-07-30T12:35:35Z
dc.date.available2021-07-30T12:35:35Z
dc.date.defence2021-06-29
dc.date.issued2021-07-30T12:35:35Z
dc.description.abstractAnthropometric measures are the cause of the majority of pilot rejection from the Royal Canadian Air Force (RACF). Though the fit mapping procedure is rigorous, it is not free from error. The purpose was to test a novel method intended to automate a more rigorous set of testing procedures to predict pilot suitability to a higher degree using reach trials and anthropometric measurements. Anthropometric measurements were taken, and participants performed several reaching tasks in a mockup of a cockpit. The Certus Optotrak was used to determine reach distances by calculating the distance between a virtual point located on the hand to IRED sensors affixed to the arm of the participant. Partial Least Squares was used to develop regression models with validation to not only predict reach distances of participants, but to predict reach performance. Reach performance calculated at 94% using contingency tables, showing validity of this method for future use.en_US
dc.identifier.urihttp://hdl.handle.net/10222/80628
dc.language.isoenen_US
dc.subjectErgonomicsen_US
dc.subjectAccommodationen_US
dc.subjectAircraften_US
dc.subjectCockpiten_US
dc.subjectReachen_US
dc.subjectAnthropometricsen_US
dc.subjectPiloten_US
dc.subjectMilitaryen_US
dc.subjectFit-mappingen_US
dc.subjectMulitple Linear Regressionen_US
dc.subjectPartial Least Squaresen_US
dc.subjectValidationen_US
dc.titleAircraft Cockpit Accommodation: A Pilot Studyen_US

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