In the intelligent airbag system, the detection accuracy of occupant position is the precondition and plays a vital role to control airbag detonation time and inflated strength during the crash. Through accurately analyzing the seat surface pressure distributions of different occupant sitting position and types, an occupant position recognition approach which purely uses occupant pressure distribution information measured by seat pressure sensors is presented with the method of Support Vector Machine. In the end, the distribution samples with different occupant sitting position and types are used to train and test the recognition approach, and the good validity and accuracy are shown in the experiments.


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    Title :

    Vehicle Occupant Posture Classification System using Seat Pressure Sensor for Intelligent Airbag


    Additional title:

    Sae Technical Papers


    Contributors:
    Fei, Gao (author) / Zhenhai, Gao (author) / Liyong, Jiang (author)

    Conference:

    SAE World Congress & Exhibition ; 2009



    Publication date :

    2009-04-20




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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