A computer system records eye tracking data and identifies movements in the eye tracking data to create and iteratively refine associations between eye features and basic geometric shapes. The associations are used to rapidly identify eye features for eye tracking. The system derives performance metrics and fatigue estimations from the identified basic geometric shapes, including changes in such shapes over time. The system continuously adjusts and/or weights the associations in real-time based on eye tracking data.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    ONLINE CORRECTION FOR CONTEXT-AWARE IMAGE ANALYSIS FOR OBJECT CLASSIFICATION


    Beteiligte:
    BLAKESLEE BRIGID A (Autor:in) / RADLBECK ANDREW (Autor:in) / WU PEGGY (Autor:in) / SUNDARAMOORTHI GANESH (Autor:in)

    Erscheinungsdatum :

    02.01.2025


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / B64D Ausrüstung für Flugzeuge , EQUIPMENT FOR FITTING IN OR TO AIRCRAFT



    CONTEXT-AWARE LANDING ZONE CLASSIFICATION

    STATHIS CHRISTOPHER | Europäisches Patentamt | 2016

    Freier Zugriff

    CONTEXT-AWARE LANDING ZONE CLASSIFICATION

    STATHIS CHRISTOPHER | Europäisches Patentamt | 2016

    Freier Zugriff

    Context-aware landing zone classification

    STATHIS CHRISTOPHER | Europäisches Patentamt | 2018

    Freier Zugriff

    Context-Aware 3D Object Detection From a Single Image in Autonomous Driving

    Zhou, Dingfu / Song, Xibin / Fang, Jin et al. | IEEE | 2022


    Context-Aware Driver Distraction Severity Classification using LSTM Network

    Fasanmade, Adebamigbe / Aliyu, Suleiman / He, Ying et al. | IEEE | 2019