A sensor-fusion approach of using Brain Machine Interface (BMI) to gain a higher resolution perspective of chassis input control is described according to the present disclosure. Traditional chassis control inputs, such as steering wheel, brake and driver state monitoring sensors can calculate input but often cannot well predict intent. By interpreting well known motor command signals, it can become clear how much chassis input the driver was intending to provide. The BMI may monitor motor cortex to identity when a muscular movement is imminent, such as the movement of the arms to grasp the steering wheel. This combination would enable faster and more precise intent calculation. Additionally, information from driver wearable devices may be used to supplement the determination. This allows for a faster response and well as better integration with the driver.


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    Titel :

    Chassis Input Intention Prediction Via Brain Machine Interface And Driver Monitoring Sensor Fusion


    Beteiligte:
    HASSANI ALI (Autor:in) / RAVINDRAN ANIRUDDH (Autor:in) / NAGASAMY VIJAY (Autor:in)

    Erscheinungsdatum :

    03.03.2022


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung



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    Classification of Driver Steering Intention Based on Brain-Computer Interface Using Electroencephalogram

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