Energy Expenditure Calculation Using Data From Multiple Devices

• US 20160196325A1
• Filed: 01/05/2016
• Published: 07/07/2016
• Est. Priority Date: 01/05/2015
• Status: Active Grant

• Current Assignee: Nike, Inc.
• Original Assignee: Nike, Inc.
• Inventors: Andon, Christopher, Kirby, Brett S., Wilkins, Bradley W.
• Granted Patent: US 10,803,090 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/4866 Evaluating metabolism A61B5/083 takes precedence
• CPC Class Codes: G06F 16/285 Clustering or classification
• CPC Class Codes: G06F 7/02 Comparing digital values G06F7/06, G06F7/22, G06F7/38 take precedence

Abstract

Aspects relate to athletic metric values from data received from different sources having different devices that employ different processes to calculate the values. Data may be received from a connected device that utilizes a first operating protocol, and be received by a device utilizing a second operating protocol. An activity metric may be identified from received data, and a determination may be made as to whether the activity metric is calculated using a best available data source. If it is determined that the received data represents a best available data source, the received data may be added to a metric database, the received data may be classified into an activity group, and an energy expenditure value may be calculated from the received data.

Claims

1. An athletic system comprising:

a processor;

a display; and

a non-transitory computer-readable medium comprising computer-executable instructions that when executed by the processor are configured to cause the processor to at least;

receive athletic data from a connected device, wherein the connected device utilizes a first operating system and the processor utilizes a second operating system;

identify an activity metric associated with the received data;

determine with the processor, by comparing the received data to a metric database, whether the received data is a best available source of data for the activity metric,

wherein if the received data is not a best available source of data for the activity metric, discarding the received data, and

wherein if the received data is the best available source of data for the activity metric;

store the received data in the metric database;

classify the received data into an athletic activity group;

associate one or more stored activity metrics with one or more respective confidence weightings, based on the classified activity group;

calculate an energy expenditure value of a user from the one or more stored activity metrics; and

A

display the calculated energy value of the user on the display.

2. The athletic system of claim 1, the computer readable medium further comprising:

an input interface configured to receive an activity classification input from a user and sensor data from the connected device.

3. The athletic system of claim 1, wherein the received data is raw sensor data. and the activity metric is calculated from the raw sensor data by the processor.

4. The athletic system of claim 1, wherein the received data comprises the activity metric pre-calculated by the connected device.

5. The athletic system of claim 1, wherein the activity group comprises one or more activities that can be recognized based on one or more activity metrics stored in the metric database.

6. The athletic system of claim 5, wherein the computer-readable medium further comprises computer-executable instructions, when executed by the processor, are further configured to cause the processor to perform:

identifying an additional activity metric, not stored in the metric database, to improve activity recognition by reducing a number of activities in the activity group.

7. The athletic system of claim 1, wherein in order to calculate the energy expenditure of the user, the processor utilizes personal activity metrics stored in the metric database, including at least two of:

an age, a weight, a height, and a gender of the user.

8. The athletic system of claim 1, wherein in order to calculate the energy expenditure of the user, the processor utilizes a personal activity metric stored in the metric database, including at least a resting heart rate of the user.

9. The athletic system of claim 8, wherein in order to calculate the energy expenditure of the user, the processor further utilizes performance activity metrics that include a time over which an activity is being performed by the user, and at least one performance activity metric selected from:

a speed, a gradient, a power, a heart rate, a volume of oxygen consumption, a metabolic equivalent, and a calorie count.

10. The athletic system of claim 8, wherein the computer-readable medium further comprises computer-executable instructions, that when executed by the processor, cause the processor to perform at least:

normalizing the energy expenditure value of the user based on the personal activity metrics.

11. A computer-implemented method of calculating a final cumulative athletic metric based upon an athlete'"'"'s athletic movements during a first time frame that comprises at least a first and a second time period, comprising:

receiving from a first source, a first value representing a first athletic metric derived from a first process conducted on a first device;

receiving from a second source that is independent of the first source, a second value representing the first athletic metric derived from a second process conducted on a second device;

based upon an identity of at least one of the first source and the first device, associating a modification scalar to the first value;

assigning a normalizing factor configured to normalize data received from the first source and the second source;

calculating a final cumulative normalized athletic metric for the first time frame using an adjusted first value and an adjusted second value, wherein the adjusted first value is derived from the first value, the modification scalar and the assigned normalizing factor, and the adjusted second value is derived from at least the second value and the assigned normalizing factor; and

outputting the final cumulative normalized athletic metric for use by an athlete.

12. The method of claim 11, wherein the normalizing factor and the modification scalar are each applied to the first value.

13. The method of claim 12, wherein one of either the assigned normalizing factor or the modification scalar is directly applied to the first value to provide an interim first value, and the other of the normalizing factor and the modification scalar is applied to the interim first value.

14. The method of claim 12, further comprising:

determining that the first value represents athletic movements during a first time period within the first time frame and the second value represents athletic movements during a second time period within the first time frame; and

wherein the calculation of the final cumulative normalized athletic metric comprises summing the adjusted first value and the adjusted second value to create the final cumulative normalized athletic metric.

15. The method of claim 12, wherein the normalizing factor is assigned to the first value based upon the activity being performed by the athlete.

16. The method of claim 12, further comprising:

determining that the first value represents athletic movements during a first time period within the first time frame and the second value represents athletic movements during a second time period within the first time frame, wherein at least a portion of the first time period and the second time period overlap; and

wherein the calculating the final normalized cumulative athletic metric comprises;

determining that the first source better represents the athletic movements, and in response, proportionally attributing the first value to the overlap.

17. The method of claim 12, wherein the first athletic metric comprises an energy expenditure metric.

18. The method of claim 12, wherein the athletic metric comprises a pace metric.

19. The method of claim 18, wherein the first process comprises:

receiving locational data of the athlete during at least a portion of the first time frame; and

based upon the locational data, determining a pace of the athlete during relevant portion of the first time frame; and

wherein the second process comprises;

determining a quantity of steps taken by the athlete during at least a portion of the first time frame; and

based upon at least the quantity of steps determined, determining a pace of the athlete during the relevant portion of the first time frame.

20. The method of claim 19, further comprising:

combining the pace metric received from both of the first and second sources with demographic information located in a central database that is independent from the first and second source to create an energy expenditure metric.