A method, apparatus, system, and computer program product for training a gesture recognition machine learning model system. Temporal images for a set of gestures used for ground operations for an aircraft are identified by a computer system. Pixel variation data identifying movement on a per image basis from the temporal images is generated by the computer system. The temporal images and the pixel variation data form training data. A set of feature machine learning models is trained by the computer system to recognize features using the training data.


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    Titel :

    Human Gesture Recognition for Autonomous Aircraft Operation


    Beteiligte:
    AFRASIABI AMIR (Autor:in) / LEE KWANG HEE (Autor:in) / PATEL BHARGAVI (Autor:in) / CHO YOUNG SUK (Autor:in) / OH JUNGHYUN (Autor:in)

    Erscheinungsdatum :

    28.04.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT / G06K Erkennen von Daten , RECOGNITION OF DATA



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