A neural network is used in a vehicle component to determine the stress level or arousal level of a vehicle occupant. Sensors in the vehicle cabin, e.g., the seat, sense biological characteristics of the occupant, e.g., neuro-electrical signals, cardiac characteristics, body temperature and the like. The neural network can compute and classify the emotional state of the occupant in real-time. The vehicle can trigger warnings, indicators and stress counter-measures when the occupant exceeds a threshold. The counter-measures can include visual and audio feedback within the vehicle cabin. The neural network can provide historical occupant emotional states that can be used by the navigation system to avoid travel segments that may trigger undesired emotional states in the occupant.


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    Titel :

    BIOMETRIC SENSOR FUSION TO CLASSIFY VEHICLE PASSENGER STATE


    Beteiligte:
    GALLAGHER DAVID (Autor:in) / MIGNECO FRANCESCO (Autor:in) / YETUKURI ARJUN (Autor:in) / PIZANA JASMINE (Autor:in) / STAVROPOULOS STEVEN T (Autor:in) / CARLSEN PAT (Autor:in) / PRAKASH ABHAY (Autor:in)

    Erscheinungsdatum :

    31.10.2019


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR



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