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公开(公告)号：US20220241641A1
公开(公告)日：2022-08-04
申请号：US17460135
申请日：2021-08-27
Applicant: Apple Inc.
Inventor： Craig Mermel , Karthik Jayaraman Raghuram , Hung A. Pham , Adam S. Howell , James P. Ochs , Alexander Singh Alvarado , Sunny K. Chow , Ronald K. Huang , Gunes Dervisoglu , Kenneth W. Waters
Abstract: Systems and methods of analyzing a user's motion during a swimming session are described. One or more motions sensors can collect motion data of the user. A processor circuit can make motion analysis based on the motion data. The processor circuit can determine if the user's arm swing is a genuine swim stroke. The processor circuit can also determine whether the user is swimming or turning. The processor circuit can also classify the user's swim stroke style. The processor circuit can also determine the user's swim stroke phase. The processor circuit can also determine the user's stroke orbit consistency.
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公开(公告)号：US20220096006A1
公开(公告)日：2022-03-31
申请号：US17033634
申请日：2020-09-25
Applicant: Apple Inc.
Inventor： Di Wu , James Ochs , Paige N. Stanley , Karthik Jayaraman Raghuram
Abstract: Embodiments are disclosed for estimating caloric expenditure using a heart rate model specific to a motion class. In an embodiment, a method comprises: obtaining acceleration and rotation rate from motion sensors of a wearable device; determining a vertical component of inertial acceleration and a vertical component of rotational acceleration from the acceleration and rotation rate, respectively; determining a magnitude of the rotation rate; determining a correlation between the inertial vertical acceleration component and rotational acceleration; determining a percentage of motion outside a dominant plane of motion; predicting a motion class based on a motion classification model that takes as input the motions, correlation and percentage; determining a likelihood the user is walking; in accordance with determining that the user is likely not walking, configuring a heart rate model based on the predicted motion class; and estimating, using the configured heart rate model, a caloric expenditure of the user.
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公开(公告)号：US20210393162A1
公开(公告)日：2021-12-23
申请号：US17338529
申请日：2021-06-03
Applicant: Apple Inc.
Inventor： Britni A. Crocker , Katherine Niehaus , Aditya Sarathy , Asif Khalak , Allison L. Gilmore , James P. Ochs , Bharath Narasimha Rao , Gabriel A. Quiroz , Hui Chen , Kyle A. Reed , William R. Powers, III , Maxsim L. Gibiansky , Paige N. Stanley , Umamahesh Srinivas, III , Karthik Jayaraman Raghuram , Adeeti V. Ullal
Abstract: One or more electronic device may use motion and/or activity sensors to estimate a user's maximum volumetric flow of oxygen, or VO2 max. In particular, although a correlation between heart rate and VO2 max may be linear at high heart rate levels, there is not a linear correlation at lower heart rate levels. Therefore, for users without extensive workout data, the motion sensors and activity sensors may be used to determine maximum calories burned by the user, workout data, including heart rate data, and body metric data. Based on these parameters, a personalized relationship between the user's heart rate and oxygen pulse (which is a function of VO2) may be determined, even with a lack of high intensity workout data. In this way, a maximum heart rate and therefore a VO2 max value may be approximated for the user.
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公开(公告)号：US10709933B2
公开(公告)日：2020-07-14
申请号：US15679538
申请日：2017-08-17
Applicant: Apple Inc.
Inventor： Xing Tan , Karthik Jayaraman Raghuram , Adeeti Ullal , Craig H. Mermel , Daniel M. Trietsch , Alexander Singh Alvarado
Abstract: A method and a system for determining an energy expenditure of a user while practicing yoga are described. A heart rate sensing module can measure the user's heart rate. A temperature sensing module can measure ambient temperature. A motion sensing module can collect user's motion data. In some embodiments, a hot yoga session can be detected based on measured ambient temperature. In some embodiments, a yoga type can be detected based on the motion data. In some embodiments, an energy expenditure model can be applied based on the determined yoga type.
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公开(公告)号：US10687707B2
公开(公告)日：2020-06-23
申请号：US15616135
申请日：2017-06-07
Applicant: APPLE INC.
Inventor： Xing Tan , Karthik Jayaraman Raghuram , Adeeti Ullal , Umamahesh Srinivas , Mrinal Agarwal , Daniel Trietsch , Alexander Singh Alvarado , Hung A. Pham , Ronald K. Huang , Adam Howell
Abstract: The present disclosure relates to a system and method of detecting activity by a wheelchair user. In one aspect, a method comprises collecting motion data of a user device located on an appendage of the user; detecting, by a processor circuit, that one or more activities by the wheelchair user occurred based on the motion data; calculating, by a processor circuit, an energy expenditure by the user based the one or more activities by the wheelchair user occurred; and outputting, by a processor circuit, the energy expenditure estimation.
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Patent Agency Ranking
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
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.
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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
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.
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公开(公告)号：US20180344217A1
公开(公告)日：2018-12-06
申请号：US15611010
申请日：2017-06-01
Applicant: Apple Inc.
Inventor： Daniel J. Perry , Edith M. Arnold , Hung A. Pham , Jonathan M. Beard , Karthik Jayaraman Raghuram , Vinay R. Majjigi
Abstract: A system and method for collecting motion data using a fitness tracking device located on an arm of a user, detecting that the arm is constrained based on the motion data, estimating a stride length of the user based on the motion data and historical step cadence-to-stride length data, calculating fitness data using the estimated stride length, and outputting the fitness data to the user.
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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
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.
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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
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.
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