Patent ID: 11918856
Assignee: UNDER ARMOUR, INC.
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 13:
14. The method of claim 7, wherein:
the machine learning model comprises a heel-strike non-linear regression model, a midfoot strike non-linear regression model, and a forefoot strike non-linear regression model,
the movement data includes acceleration data corresponding to an acceleration of the user, and
the method further comprises:
calculating, with at least one of the monitoring device and the controller of the personal electronic device, at least one of raw stride length data corresponding to a stride length of the user from the subset of the movement data, raw cadence data corresponding to a cadence of the user from the subset of the movement data, and raw ground contact time data corresponding to a ground contact time of the user from the subset of the movement data;
determining if the subset of the acceleration data corresponds to a heel-strike stride of the user, a midfoot-strike stride of the user, or a forefoot-strike stride of the user;
applying at least the feature data, the raw speed data, the raw distance data, the raw stride length data, the raw cadence data, and the raw ground contact time data to only the heel-strike non-linear regression model to determine the movement variable data, if the subset of the acceleration data corresponds to the heel-strike stride;
applying at least the feature data, the raw speed data, the raw distance data, the raw stride length data, the raw cadence data, and the raw ground contact time data to only the midfoot-strike non-linear regression model to determine the movement variable data, if the subset of the acceleration data corresponds to the midfoot-strike stride; and
applying at least the feature data, the raw speed data, the raw distance data, the raw stride length data, the raw cadence data, and the raw ground contact time data to only the forefoot-strike non-linear regression model to determine the movement variable data, if the subset of the acceleration data corresponds to the forefoot-strike stride.