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

Claim 3:
4. The fitness tracking system of claim 1, wherein:
the machine learning model is a neural network regression model,
the remote processing server configured to receive from the personal electronic device at least one of raw stride length data corresponding to a stride length of the user from a 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,
the movement data includes acceleration data corresponding to an acceleration of the user,
the feature data comprises at least one of a mean acceleration, a median acceleration, a root mean square acceleration, a maximum acceleration, a minimum acceleration,
the remote processing server is further configured to apply the machine learning model to at least one of the raw stride length data, the raw cadence data, and the raw ground contact time data to determine the movement variable data, and
the at least one movement variable further comprises at least one of an estimated cadence of the user and an estimated ground contact time of the user.