WIRELESS IN-SHOE PHYSICAL ACTIVITY MONITORING
First Claim
1. A method for execution by a processing module, the method comprises:
- obtaining foot force data that is created by sampling, in accordance with a sampling signal, data from a plurality of pressure sensing elements of a shoe sensor system, wherein the plurality of sensing elements that are distributed in a pattern having a shape corresponding to an outline a human foot;
obtaining three-dimensional foot data that is created by sampling, in accordance with the sampling signal, data from a first accelerometer of the shoe sensor system, wherein the first accelerometer is positioned within the pattern;
correlating the foot force data and the three-dimensional foot data in accordance with the sampling signal to produce correlated foot data; and
processing the correlated foot data to determine one or more of;
distance traveled during a time period, stride length data, time duration, fatigue indication, injury prevention indicators, elevation tracking for the time period, running optimization, and rotational sport optimization.
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Abstract
A method includes obtaining foot force data that is created by sampling, in accordance with a sampling signal, data from pressure sensing elements of a shoe sensor system. The method further includes obtaining three-dimensional foot data that is created by sampling, in accordance with the sampling signal, data from an accelerometer of the shoe sensor system. The method further includes correlating the foot force data and the three-dimensional foot data in accordance with the sampling signal to produce correlated foot data. The method further includes processing the correlated foot data to determine one or more of: distance traveled during a time period, stride length data, time duration, fatigue indication, injury prevention indicators, elevation tracking for the time period, running optimization, and rotational sport optimization.
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Citations
17 Claims
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1. A method for execution by a processing module, the method comprises:
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obtaining foot force data that is created by sampling, in accordance with a sampling signal, data from a plurality of pressure sensing elements of a shoe sensor system, wherein the plurality of sensing elements that are distributed in a pattern having a shape corresponding to an outline a human foot; obtaining three-dimensional foot data that is created by sampling, in accordance with the sampling signal, data from a first accelerometer of the shoe sensor system, wherein the first accelerometer is positioned within the pattern; correlating the foot force data and the three-dimensional foot data in accordance with the sampling signal to produce correlated foot data; and processing the correlated foot data to determine one or more of;
distance traveled during a time period, stride length data, time duration, fatigue indication, injury prevention indicators, elevation tracking for the time period, running optimization, and rotational sport optimization. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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Specification