Automation Intent Inference Using the GFHMM for Flight Deck Mode Confusion Detection

No AccessTechnical NoteAutomation Intent Inference Using the GFHMM for Flight Deck Mode Confusion DetectionHao Lyu, Jayaprakash Suraj Nandiganahalli and Inseok HwangHao LyuPurdue University, West Lafayette, Indiana 47906, Jayaprakash Suraj NandiganahalliPurdue University, West Lafayette, Indiana 47906 and Inseok HwangPurdue University, West Lafayette, Indiana 47906Published Online:20 Feb 2018https://doi.org/10.2514/1.I010493SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] "Advanced Technology Aircraft Safety Survey Report," Flight Safety Digest, Vol. 18, Nos. 6–8, 1999, pp. 137–216. Google Scholar[2] Sarter N. B. and Woods D. D., "How in the World Did We Ever Get into That Mode? 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TopicsAircraft CarriersAircraft Components and StructureAircraft ControlAircraft DesignAircraft Operations and TechnologyAircraft Stability and ControlAircraftsArtificial IntelligenceAutonomous SystemsAvionics SoftwareComputer NetworksComputing and InformaticsComputing, Information, and CommunicationData MiningData ScienceMachine LearningSoftware Systems KeywordsGeneralized Fuzzy Hidden Markov ModelFlight DeckPilotVertical NavigationMode Control PanelFlight DataFlight Management ComputerNational Transportation Safety BoardCockpitSan Francisco International AirportAcknowledgmentThe authors would like to acknowledge that this work is supported by NSF CMMI (National Science Foundation, Civil, Mechanical and Manufacturing Innovation) 1335084.PDF Received22 July 2016Accepted5 January 2018Published online20 February 2018

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