Method and system for real-time signal classification

  • US 7,827,011 B2
  • Filed: 11/21/2007
  • Issued: 11/02/2010
  • Est. Priority Date: 05/03/2005
  • Status: Expired due to Fees
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First Claim
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1. A method for real-time signal classification, the method to be executable on a low-power processor, the method comprising:

  • providing a managed bandwidth signal from an accelerometer sensor;

    establishing, by a processor, a time bound for executing steps in the method;

    windowing, by the processor, within the time bound, the managed bandwidth signal to produce an acceleration vector based on an acceleration model;

    performing, by the processor, within the time bound, feature computation using fixed point arithmetic on the vector to produce a model-compatible acceleration vector based on the acceleration model;

    projecting, by the processor, within the time bound, the model-compatible acceleration vector having a first multi-dimensional factor space onto a second multi-dimensional factor space where the second multi-dimensional factor space is smaller than the first multi-dimensional factor space to produce a lower dimensional factor vector; and

    evaluating, by the processor, within the time bound and using log representations, the lower dimensional factor vector against the acceleration model to produce a classification result.

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