公开(公告)号：US10650699B2

公开(公告)日：2020-05-12

申请号：US15264976

申请日：2016-09-14

Applicant: Apple Inc.

Inventor： Craig H. Mermel ,  Alexander Singh Alvarado ,  Daniel M. Trietsch ,  Hung A. Pham ,  Karthik Jayaraman Raghuram ,  Richard Channing Moore, III

IPC: G09B19/00 ,  A63B69/16 ,  A63B71/06 ,  G01L3/24 ,  G01S19/19 ,  A61B5/024 ,  A61B5/00 ,  A63B69/00

Abstract: Improved techniques and systems are disclosed for determining the components of resistance experienced by a wearer of a wearable device engaged in an activity such as bicycling or running. By monitoring data using the wearable device, improved estimates can be derived for various factors contributing to the resistance experienced by the user in the course of the activity. Using these improved estimates, data sampling rates may be reduced for some or all of the monitored data.

公开(公告)号：US20190103007A1

公开(公告)日：2019-04-04

申请号：US16128464

申请日：2018-09-11

Applicant: Apple Inc.

Inventor： Xing Tan ,  Huayu Ding ,  Parisa Dehleh Hossein-Zadeh ,  Harshavardhan Mylapilli ,  Hung A. Pham ,  Karthik Jayaraman Raghuram ,  Yann Jerome Julien Renard ,  Sheena Sharma ,  Alexander Singh Alvarado ,  Umamahesh Srinivas ,  Xiaoyuan Tu ,  Hengliang Zhang ,  Geoffrey Louis Chi-Johnston ,  Vivek Garg

IPC: G08B21/04 ,  G06F3/01 ,  G01C21/12 ,  G01C5/06 ,  G01S19/13 ,  A61B5/11 ,  A61B5/00 ,  A61B5/024

Abstract: In an example method, a mobile device obtains a signal indicating an acceleration measured by a sensor over a time period. The mobile device determines an impact experienced by the user based on the signal. The mobile device also determines, based on the signal, one or more first motion characteristics of the user during a time prior to the impact, and one or more second motion characteristics of the user during a time after the impact. The mobile device determines that the user has fallen based on the impact, the one or more first motion characteristics of the user, and the one or more second motion characteristics of the user, and in response, generates a notification indicating that the user has fallen.

公开(公告)号：US10098549B2

公开(公告)日：2018-10-16

申请号：US14501701

申请日：2014-09-30

Applicant: Apple, Inc.

Inventor： Xing Tan ,  Hung A. Pham ,  Richard Channing Moore, III ,  Karthik Jayaraman Raghuram ,  Alexander Singh Alvarado ,  Umamahesh Srinivas ,  Mrinal Agarwal ,  Edith Merle Arnold

IPC: A61B5/0205 ,  A61B5/11 ,  A61B5/00 ,  A61B5/024 ,  A61B5/22 ,  A63B22/06 ,  G01C22/00

Abstract: A fitness tracking device configured to be worn by a user obtains a plurality of physical characteristics of the user including a first age and a sex of the user. The fitness tracking device maps each physical characteristic of the user to a corresponding index, wherein the first age of the user is mapped to a first age index of a first age range of a plurality of age ranges, and wherein the sex of the user is mapped to a first sex index. The fitness tracking device selects, from a memory of the fitness tracking device, a first calorimetry model of a plurality of calorimetry models, wherein the first calorimetry model is associated with each corresponding index, including the first age index and the first sex index of the user. The fitness tracking device estimates an energy expenditure rate using the first calorimetry model.

公开(公告)号：US09918646B2

公开(公告)日：2018-03-20

申请号：US14502754

申请日：2014-09-30

Applicant: Apple Inc.

Inventor： Alexander Singh Alvarado ,  Hung A. Pham ,  Richard Channing Moore, III ,  Karthik Jayaraman Raghuram ,  Umamahesh Srinivas ,  Xing Tan

IPC: A61B5/02 ,  A61B5/0205 ,  A61B5/11 ,  A61B5/00 ,  A61B5/024 ,  A61B5/22 ,  A63B22/06 ,  G01C22/00

CPC classification number: A61B5/0205 ,  A61B5/0002 ,  A61B5/0004 ,  A61B5/02416 ,  A61B5/02438 ,  A61B5/1112 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/112 ,  A61B5/1121 ,  A61B5/1123 ,  A61B5/222 ,  A61B5/4866 ,  A61B5/4884 ,  A61B5/681 ,  A61B5/6898 ,  A61B5/7221 ,  A61B5/7246 ,  A61B5/725 ,  A61B5/7264 ,  A61B5/7275 ,  A61B2560/0204 ,  A61B2560/0242 ,  A61B2560/0475 ,  A61B2562/0219 ,  A63B22/0605 ,  G01C22/006

Abstract: In one aspect, the present disclosure relates to a method including obtaining a plurality of heart rate measurements of the user over a period of time; obtaining motion data of the user over the period of time; analyzing the motion data of the user to determine for each of the plurality of heart rate measurements, a corresponding work rate measurement; determining, for each of the plurality of heart rate measurements, a first confidence level; determining, for each corresponding work rate measurement, a second confidence level; and estimating a first energy expenditure rate using the plurality of heart rate measurements; estimating a second energy expenditure rate using the plurality of work rate measurements; and estimating a weighted energy expenditure rate of the user by combining the first energy expenditure rate weighted by the first confidence level and the second energy expenditure rate weighted by the second confidence level.