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公开(公告)号:US10302469B2
公开(公告)日:2019-05-28
申请号:US15176599
申请日:2016-06-08
Applicant: Under Armour, Inc.
Inventor: Abhi Bhatt , Eric Boam , Evan Torchin , Daniel Sargeant , Mayank Arora , John Arnold, Jr. , John Martin , Christopher Green , Nimesh Desai , Breyna Fries
Abstract: Apparatus and methods are provided for determining, recommending, and applying a calibration parameter to collected activity data. In one embodiment, calibration parameter is estimated based on physical aspects of the user and automatically applied to collected data. In another embodiment, the calibration parameter is determined based on secondary data which is more precise than the data which is collected. The calibration factor based on the more precise data may comprise a recommended calibration factor, yet the user may be enabled to select any calibration factor he/she prefers via an interactive display. In one specific variant, the activity comprises a walk or run activity of the user, and the calibration parameter comprises the user's specific stride length. In another variant, the user selects a calibration factor by reviewing a list of previous activity against that same activity after calibration given a particular calibration factor is applied.
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2.
公开(公告)号:US20170356770A1
公开(公告)日:2017-12-14
申请号:US15176599
申请日:2016-06-08
Applicant: Under Armour, Inc.
Inventor: Abhi Bhatt , Eric Boam , Evan Torchin , Daniel Sargeant , Mayank Arora , John Arnold, JR. , John Martin , Christopher Green , Nimesh Desai , Breyna Fries
CPC classification number: G01D18/00 , A61B5/1112 , A61B5/1118 , A61B5/112 , A61B5/1121 , A61B5/1123 , A61B5/681 , A61B5/6824 , A61B5/6831 , A61B5/6898 , A61B5/742 , A61B5/7475 , A61B2560/0223
Abstract: Apparatus and methods are provided for determining, recommending, and applying a calibration parameter to collected activity data. In one embodiment, calibration parameter is estimated based on physical aspects of the user and automatically applied to collected data. In another embodiment, the calibration parameter is determined based on secondary data which is more precise than the data which is collected. The calibration factor based on the more precise data may comprise a recommended calibration factor, yet the user may be enabled to select any calibration factor he/she prefers via an interactive display. In one specific variant, the activity comprises a walk or run activity of the user, and the calibration parameter comprises the user's specific stride length. In another variant, the user selects a calibration factor by reviewing a list of previous activity against that same activity after calibration given a particular calibration factor is applied.
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公开(公告)号:USD948561S1
公开(公告)日:2022-04-12
申请号:US29700095
申请日:2019-07-31
Applicant: Under Armour, Inc.
Designer: Jeff O'Neal , Mayank Arora , Travis Rimel , Daniel Townson , Pedro Feitosa , William Kluss , Daniel Sargeant
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公开(公告)号:US10890469B2
公开(公告)日:2021-01-12
申请号:US16390741
申请日:2019-04-22
Applicant: Under Armour, Inc.
Inventor: Abhi Bhatt , Eric Boam , Evan Torchin , Daniel Sargeant , Mayank Arora , John Arnold, Jr. , John Martin , Christopher Green , Nimesh Desai , Breyna Fries
Abstract: Apparatus and methods are provided for determining, recommending, and applying a calibration parameter to collected activity data. In one embodiment, calibration parameter is estimated based on physical aspects of the user and automatically applied to collected data. In another embodiment, the calibration parameter is determined based on secondary data which is more precise than the data which is collected. The calibration factor based on the more precise data may comprise a recommended calibration factor, yet the user may be enabled to select any calibration factor he/she prefers via an interactive display. In one specific variant, the activity comprises a walk or run activity of the user, and the calibration parameter comprises the user's specific stride length. In another variant, the user selects a calibration factor by reviewing a list of previous activity against that same activity after calibration given a particular calibration factor is applied.
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公开(公告)号:USD954744S1
公开(公告)日:2022-06-14
申请号:US29700088
申请日:2019-07-31
Applicant: Under Armour, Inc.
Designer: Pedro Feitosa , Travis Rimel , Daniel Townson , William Kluss , Mayank Arora
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6.
公开(公告)号:US20190242731A1
公开(公告)日:2019-08-08
申请号:US16390741
申请日:2019-04-22
Applicant: Under Armour, Inc.
Inventor: Abhi Bhatt , Eric Boam , Evan Torchin , Daniel Sargeant , Mayank Arora , John Arnold, JR. , John Martin , Christopher Green , Nimesh Desai , Breyna Fries
CPC classification number: G01D18/00 , A61B5/1112 , A61B5/1118 , A61B5/112 , A61B5/1121 , A61B5/1123 , A61B5/681 , A61B5/6824 , A61B5/6831 , A61B5/6898 , A61B5/742 , A61B5/7475 , A61B2560/0223 , G01C22/006
Abstract: Apparatus and methods are provided for determining, recommending, and applying a calibration parameter to collected activity data. In one embodiment, calibration parameter is estimated based on physical aspects of the user and automatically applied to collected data. In another embodiment, the calibration parameter is determined based on secondary data which is more precise than the data which is collected. The calibration factor based on the more precise data may comprise a recommended calibration factor, yet the user may be enabled to select any calibration factor he/she prefers via an interactive display. In one specific variant, the activity comprises a walk or run activity of the user, and the calibration parameter comprises the user's specific stride length. In another variant, the user selects a calibration factor by reviewing a list of previous activity against that same activity after calibration given a particular calibration factor is applied.
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