Method and apparatus for wirelessly monitoring repetitive bodily movements
First Claim
1. A method for determining a rate of repetitive bodily motion of an individual without contact with the individual, wherein the method is executable by one or more computing devices and comprises:
- transmitting a signal for reflection off of the individual;
receiving a reflected signal;
down-converting the reflected signal to a baseband signal;
applying a frequency estimation algorithm to the baseband signal to produce an estimated spectral density, wherein the frequency estimation algorithm includes;
estimating a covariance matrix of the baseband signal;
estimating a clutter covariance matrix of the baseband signal;
generating a resultant matrix from the clutter covariance matrix and the covariance matrix; and
applying the frequency estimation algorithm to the resultant matrix to produce the estimated spectral density; and
applying a repetitive bodily motion pattern search function to the estimated spectral density to estimate the rate of the repetitive bodily motion of the individual.
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Abstract
A method for determining a rate of repetitive bodily motion of an individual with negligible contact with the individual begins by one or more computing devices transmitting a signal for reflection off of the individual, receiving a reflected signal, and down-converting the reflected signal to a baseband signal. The method continues with one or more computing device applying a frequency estimation algorithm to the baseband signal to produce an estimated spectral density, and applying a repetitive bodily motion pattern search function to the estimated spectral density to estimate the rate of the repetitive bodily motion of the individual.
32 Citations
21 Claims
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1. A method for determining a rate of repetitive bodily motion of an individual without contact with the individual, wherein the method is executable by one or more computing devices and comprises:
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transmitting a signal for reflection off of the individual; receiving a reflected signal; down-converting the reflected signal to a baseband signal; applying a frequency estimation algorithm to the baseband signal to produce an estimated spectral density, wherein the frequency estimation algorithm includes; estimating a covariance matrix of the baseband signal; estimating a clutter covariance matrix of the baseband signal; generating a resultant matrix from the clutter covariance matrix and the covariance matrix; and applying the frequency estimation algorithm to the resultant matrix to produce the estimated spectral density; and applying a repetitive bodily motion pattern search function to the estimated spectral density to estimate the rate of the repetitive bodily motion of the individual. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. A computing device comprises:
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a transceiver operable to; transmit a signal for reflection off of an individual; receive a reflected signal; and down-convert the reflected signal to a baseband signal; and a memory; and a processing module operably coupled to the transceiver and the memory, wherein the processing module is operable to; apply a frequency estimation algorithm to the baseband signal to produce an estimated spectral density, wherein the frequency estimation algorithm includes; estimating a covariance matrix of the baseband signal; estimating a clutter covariance matrix of the baseband signal; generating a resultant matrix from the clutter covariance matrix and the covariance matrix; and applying the frequency estimation algorithm to the resultant matrix to produce the estimated spectral density; and apply a repetitive bodily motion pattern search function to the estimated spectral density to estimate the rate of the repetitive bodily motion of the individual without contact with the individual. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21)
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Specification