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.


    Access

    Download


    Export, share and cite



    Title :

    Biometric sensor fusion to classify vehicle passenger state


    Contributors:

    Publication date :

    2020-12-15


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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



    BIOMETRIC SENSOR FUSION TO CLASSIFY VEHICLE PASSENGER STATE

    GALLAGHER DAVID / MIGNECO FRANCESCO / YETUKURI ARJUN et al. | European Patent Office | 2019

    Free access

    Passenger Experience and Biometric Monitoring in an Autonomous Vehicle

    BLAU JOSEPH | European Patent Office | 2019

    Free access

    Biometric technologies in passenger clearance

    Gregor Költzsch | DOAJ | 2006

    Free access

    Passenger vehicle control system using biometric recognition and method thereof

    LEE PYUNG IL / KIM HYUN | European Patent Office | 2021

    Free access

    SENSOR FUSION FOR PASSENGER CONVEYANCE CONTROL

    HSU ARTHUR / FINN ALAN MATTHEW / JIA ZHEN et al. | European Patent Office | 2022

    Free access