We have developed a wearable airbag that incorporates a fall detection system that uses both acceleration and angular velocity signals to trigger inflation of the airbag. The fall detection algorithm was devised using a thresholding technique with the signals of an accelerometer and gyro sensor. The thresholds of acceleration less than +- 3 m/s2 and the integral of angular velocity exceed 0.52 rad/s were used. Five young healthy subjects mimicked falls, and their signals of acceleration and angular velocity were monitored. Then, we developed a fall detection algorithm that could detect signals 300 ms before the fall. This signal was used as a trigger to inflate the airbag to a capacity of 2.4 L. The system has been manufactured but the accuracy was not 100% of operation. In this study we have improved fall detection algorithm to operate correctly in daily life.


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    Title :

    Development of a Wearable Airbag for Preventing Fall Related Injuries


    Contributors:


    Publication date :

    2011


    Size :

    5 Seiten





    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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