发明名称 |
Energy Expenditure Calculation Using Data From Multiple Devices |
摘要 |
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. |
申请公布号 |
US2016196325(A1) |
申请公布日期 |
2016.07.07 |
申请号 |
US201614987970 |
申请日期 |
2016.01.05 |
申请人 |
NIKE, Inc. |
发明人 |
Andon Christopher;Kirby Brett S.;Wilkins Bradley W. |
分类号 |
G06F17/30;G06F7/02 |
主分类号 |
G06F17/30 |
代理机构 |
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代理人 |
|
主权项 |
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, andwherein 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 Adisplay the calculated energy value of the user on the display. |
地址 |
Beaverton OR US |