Jeffrey Ray Allen

US Patent:

20220387852, Dec 8, 2022

Filed:

May 6, 2022

Appl. No.:

17/738793

Inventors:

- Baltimore MD, US
F. Grant Kovach - Baltimore MD, US
Paul Winsper - Portland OR, US
Michael Mazzoleni - Baltimore MD, US
Jeffrey Allen - Baltimore MD, US

International Classification:

A63B 24/00
A61B 5/00
A61B 5/103

Abstract:

A method of operating a fitness tracking system includes receiving at least one first value and at least one second value for at least one foot action parameter from a sensor during a user workout. The method further includes determining whether the user has experienced a first type of fatigue and a second type of fatigue based on the at least one first value and the at least one second value, wherein the first type of fatigue is defined by different rules than the second type of fatigue. When it is determined that the user experienced the first type of fatigue, a first recommended action is provided to the user via a personal electronic device of the user. When it is determined that the user experienced the second type of fatigue, a second recommended action is provided to the user via the personal electronic device.

US Patent:

20220370852, Nov 24, 2022

Filed:

Aug 5, 2022

Appl. No.:

17/881931

Inventors:

- Baltimore MD, US
Michael Mazzoleni - Baltimore MD, US
Jeffrey Allen - Baltimore MD, US

International Classification:

A63B 24/00
G16H 20/30
G16H 40/67
G16H 40/63
G16H 50/70
G06V 40/20

Abstract:

A fitness tracking system for generating movement variables corresponding to movement of a user includes a monitoring device, a personal electronic device, and a remote processing server. The monitoring device is configured to be worn or carried by the user and includes a movement sensor configured to collect movement data. The personal electronic device is operably connected to the monitoring device. At least one of the personal electronic device and the monitoring device is configured to calculate feature data by applying a set of rules to the movement data, to calculate raw speed data corresponding to a speed of the user from the subset of the movement data, and to calculate raw distance data corresponding to a distance moved by the user from the subset of the movement data. The remote processing server includes a machine learning model for processing at least the feature data.

US Patent:

20210353234, Nov 18, 2021

Filed:

Jul 28, 2021

Appl. No.:

17/387522

Inventors:

- Baltimore MD, US
F. Grant Kovach - Baltimore MD, US
Jeffrey Allen - Baltimore MD, US
John Martin - Baltimore MD, US
Daniel Sargeant - Baltimore MD, US
Bradford J. Fults - Baltimore MD, US
Chirstopher Green - Baltimore MD, US
Mark Oleson - Baltimore MD, US
Nathan Dau - Baltimore MD, US

International Classification:

A61B 5/00
A61B 5/11
A61B 5/103

Abstract:

A method of operating a fitness tracking system includes generating movement data corresponding to movement of a user, sampling the generated movement data at a first sampling rate as first sampled data when operating the fitness tracking system in an activity detection mode, and sampling the generated movement data at a second sampling rate as second sampled data when operating the fitness tracking system in a workout mode. The second sampling rate is greater than the first sampling rate.

US Patent:

20210322826, Oct 21, 2021

Filed:

Apr 20, 2020

Appl. No.:

16/853375

Inventors:

- San Francisco CA, US
Jeffrey Allen - Baltimore MD, US
Robert Lanzer - Baltimore MD, US

International Classification:

A63B 24/00
A61B 5/00
A63B 23/12

Abstract:

A method of operating a fitness tracking system including a plurality of sensors is disclosed herein. The method includes mounting a biometric monitoring device on an article of apparel worn by a user. The method further includes receiving a prompt indicating that the user intends to provide a verbal cue via a microphone provided on the biometric monitoring device. After receiving the verbal cue from the user one of a plurality of exercise modules is selected for execution by the processor. Each of the plurality of exercise modules is configured to generate workout metrics based at least in part on physiological data received from a first of the plurality of sensors without regard to physiological data from a second of the plurality of sensors. The selected exercise module generates workout metrics for the user for a limited period of time ranging from selection of the exercise module until occurrence of a termination event.

US Patent:

20210236880, Aug 5, 2021

Filed:

Jan 25, 2021

Appl. No.:

17/156992

Inventors:

- Baltimore MD, US
Jeffrey Allen - Baltimore MD, US

International Classification:

A63B 24/00
A43B 3/00

Abstract:

A shoe includes: a heel portion; a toe portion; a sole portion; and an electrical assembly. The electrical assembly includes at least: a magnetometer configured to determine a direction of movement of the shoe; and an accelerometer configured to determine acceleration of the shoe. Direction and acceleration data are used to generate a display of a map indicating traversal of a route by a wearer of the shoe at user interface of a user device.

US Patent:

20210149010, May 20, 2021

Filed:

Nov 18, 2019

Appl. No.:

16/686954

Inventors:

- Baltimore MD, US
Adam Reevesman - Baltimore MD, US
Meng-Ting (Joyce) Chang - Baltimore MD, US
Michael Mazzoleni - Baltimore MD, US
Jeffrey Allen - Baltimore MD, US

Assignee:

Under Armour, Inc. - Baltimore MD

International Classification:

G01S 5/02
G01S 19/20
G01S 5/08

Abstract:

A fitness tracking system includes a receiver to obtain geolocation data. A method is used to determine the quality of the geolocation data by analyzing the dispersion of the geolocation coordinates during the user fitness activity. The geolocation data is used for calculating exercise metrics and displaying fitness activity when the geolocation data quality satisfies the data quality criteria.

US Patent:

20210093915, Apr 1, 2021

Filed:

Oct 1, 2019

Appl. No.:

16/589720

Inventors:

- Baltimore MD, US
F. Grant Kovach - Baltimore MD, US
Paul Winsper - Portland OR, US
Michael Mazzoleni - Baltimore MD, US
Jeffrey Allen - Baltimore MD, US

International Classification:

A63B 24/00
A61B 5/00
A61B 5/103

Abstract:

A method of operating a fitness tracking system includes receiving at least one first value and at least one second value for at least one foot action parameter from a sensor during a user workout. The method further includes determining whether the user has experienced a first type of fatigue and a second type of fatigue based on the at least one first value and the at least one second value, wherein the first type of fatigue is defined by different rules than the second type of fatigue. When it is determined that the user experienced the first type of fatigue, a first recommended action is provided to the user via a personal electronic device of the user. When it is determined that the user experienced the second type of fatigue, a second recommended action is provided to the user via the personal electronic device.

US Patent:

20200077927, Mar 12, 2020

Filed:

Sep 12, 2018

Appl. No.:

16/129006

Inventors:

- Baltimore MD, US
Jeffrey Allen - Baltimore MD, US
F. Grant Kovach - Baltimore MD, US
Jeffrey Knight - Baltimore MD, US
Matthew Trexler - Baltimore MD, US

International Classification:

A61B 5/11
A61B 5/00
A63B 24/00

Abstract:

A method of determining a CRF level for a user of a fitness tracking system includes receiving activity data from at least one activity sensor carried by the user during a number of workouts, the activity data including distance data for each of the number of workouts, and then generating workout data based on the activity data. The method further includes storing the workout data in a memory, the memory further including demographic data for the user. When the an attribute of the workout data is less than a threshold number, the method includes determining a first CRF level for the user based on a first CRF model. When the attribute of the workout data is greater than the threshold number, the method includes determining a second CRF level for the user based on a second CRF model, and displaying the first and second CRF levels.