CADENCE ANALYSIS OF TEMPORAL GAIT PATTERNS FOR SEISMIC DISCRIMINATION
First Claim
1. A method of seismic discrimination for detecting human footsteps, the method comprising:
- with a computer system, determining a gait period from a temporal window of seismic data;
with the computer system, partitioning the temporal window into k number of smaller sub-windows, each having a length equal to the gait period;
with the computer system, averaging the signals within the sub-windows;
with the computer system, determining a shift-invariant temporal gait pattern from the averaged signals of the sub-windows;
with the computer system, applying a number of weighting functions to the temporal gait pattern and producing a like number of features of the temporal gait pattern;
with the computer system, modeling the features with a statistical classifier; and
with the computer system, recognizing the seismic data as belonging to a particular class of data.
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Abstract
Systems, methods, and apparatus are described that provide for analysis of seismic data. Features of temporal gait patterns can be extracted from seismic/vibration data. A mean temporal gait pattern can be determined. A statistical classifier can be used to model features of the data. The model can be used to classify the data. As a result, discrimination of seismic sources can be performed. Systems for discrimination of seismic data are also described. A system can include a vibration sensor system configured and arranged to detect vibrations. A system can also include a processor system configured and arranged to receive data from the vibration sensor, recognize the seismic data as belonging to a particular class of seismic data, and produce an output signal corresponding to the recognized particular class of seismic data.
39 Citations
30 Claims
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1. A method of seismic discrimination for detecting human footsteps, the method comprising:
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with a computer system, determining a gait period from a temporal window of seismic data; with the computer system, partitioning the temporal window into k number of smaller sub-windows, each having a length equal to the gait period; with the computer system, averaging the signals within the sub-windows; with the computer system, determining a shift-invariant temporal gait pattern from the averaged signals of the sub-windows; with the computer system, applying a number of weighting functions to the temporal gait pattern and producing a like number of features of the temporal gait pattern; with the computer system, modeling the features with a statistical classifier; and with the computer system, recognizing the seismic data as belonging to a particular class of data. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A system for discrimination of seismic data, the system comprising:
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a vibration sensor system configured and arranged to detect vibrations; a processor system configured and arranged to (i) receive data from the vibration sensor, (ii) recognize the seismic data as belonging to a particular class of seismic data, and (iii) produce an output signal corresponding to the recognized particular class of seismic data. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30)
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Specification