Apparatus and Method for Activity Detection and Classification From Sensor Data

    公开(公告)号:US20170124480A1

    公开(公告)日:2017-05-04

    申请号:US14928831

    申请日:2015-10-30

    CPC classification number: G06N20/00 G01V1/001 G06N7/005

    Abstract: A system for detection of human or vehicle activity comprising at least one sensor adapted to generate a signal and at least one processor operating to denoise the signal; generate an autocorrelation of the signal; partition the signal into a predetermined number of overlapping segments to form a time series of data; generate symbols for the overlapping segments; compare the pattern of generated symbols with known predetermined patterns of symbols representing human or vehicular activity; determine whether a threshold probability is exceeded which attributes the data signal to human or vehicular activity; analyze the patterns presented in the data signal by transforming the patterns of symbols into states; determine the transitions between states; and classify the signal as to being attributable to human or vehicular activity based upon the transitions between states. A method of detection and classification of sensor data signals via detecting patterns using time series analysis.

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