Abstract Detecting and tracking aviator’s hand in the cockpit is a fundamental task on analyzing and identifying the behavior of aviators. Due to the complicated conditions in the cockpit - such as the lighting varies, the space of Cockpit is narrow, the operation of aviator is sophisticated - tracking the hand in Aircraft Cockpit has more difficulties than tracking the hand in human-machine interaction. We propose a hand tracking method to track the aviator’s hand based on depth images. In our experiment, most of the common flight operations are tested. The average error of hand position tracking is 6.4 mm and the ratio of losing tracking is only 1.4%, which indicate that the proposed algorithm has the ability to tracking the aviator’s hand in the aircraft cockpit accurately.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Aviator Collection - Rolls-Royce Aviator Collection

    Schatzmann,M. / Rolls-Royce Motor,GB | Kraftfahrwesen | 2012


    Aviator

    DataCite | 1929


    Forgotten aviator

    Emerald Group Publishing | 2008


    Aviator 2030

    Deutsches Zentrum für Luft- und Raumfahrt | SLUB | 2009


    The armchair aviator

    Thorn, John | SLUB | 1983