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公开(公告)号：US11103749B2
公开(公告)日：2021-08-31
申请号：US15692726
申请日：2017-08-31
申请人： Apple Inc.
发明人： Craig H. 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 Waters
摘要： 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：US10154789B2
公开(公告)日：2018-12-18
申请号：US14502827
申请日：2014-09-30
申请人： Apple Inc.
发明人： Karthik Jayaraman Raghuram , Hung A. Pham , Richard Channing Moore, III , Alexander Singh Alvarado , Umamahesh Srinivas , Xing Tan , Dan Marvin Trietsch , Gunes Dervisoglu , Craig H. Mermel , Ronald K. Huang , Adeeti Ullal
摘要： In one aspect, the present disclosure relates to a method including obtaining, by a heart rate sensor of a fitness tracking device, a heart rate measurement of a user of the fitness tracking device; obtaining, by at least one motion sensor, motion data of the user; analyzing, by the fitness tracking device, the motion data of the user to estimate a step rate of the user; estimating, by the fitness tracking device, a load associated with a physical activity of the user by comparing the heart rate measurement with the step rate of the user; and estimating, by the fitness tracking device, an energy expenditure rate of the user using the load and at least one of the heart rate measurement and the step rate.
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公开(公告)号：US11896368B2
公开(公告)日：2024-02-13
申请号：US15691245
申请日：2017-08-30
申请人： Apple Inc.
发明人： Bharath Narasimha Rao , Craig H. Mermel , Karthik Jayaraman Raghuram , Hung A. Pham , Adam S. Howell , Rami Y. Hindiyeh , James P. Ochs , Vinay R. Majjigi , Alexander Singh Alvarado , Sunny K. Chow , Umamahesh Srinivas , Xing Tan , Ronald K. Huang , Edith Merle Arnold , Robin T. Guers , Gunes Dervisoglu , Adeeti Ullal
IPC分类号： A61B5/11 , A63B24/00 , A61B5/00 , A61B5/024 , G01C22/00 , H04W4/02 , G01P15/14 , A61B5/0205 , G06V40/20 , G06F18/2135 , G06F18/2411
CPC分类号： A61B5/1112 , A61B5/0205 , A61B5/02438 , A61B5/1114 , A61B5/1118 , A61B5/1122 , A61B5/681 , A63B24/0062 , G01C22/00 , G01C22/006 , G01P15/14 , G06F18/2135 , G06F18/2411 , G06V40/23 , H04W4/027 , A63B2024/0071
摘要： The present disclosure relates to methods and systems of determining swimming metrics of a user during a swimming session. The method can include receiving, by a processor circuit of a user device, motion information from one or more motion sensors of the user device; determining, by the processor circuit using the motion information, a first set of rotational data of the user device, wherein the first set of rotational data is expressed in a first frame of reference; converting, by the processor circuit, the first set of rotational data into a second set of rotational data, wherein the second set of rotational data is expressed in a second frame of reference; determining, by the processor circuit, one or more swimming metrics of the user; and outputting the one or more swimming metrics.
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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
申请人： Apple Inc.
发明人： Xing Tan , Karthik Jayaraman Raghuram , Adeeti Ullal , Craig H. Mermel , Daniel M. Trietsch , Alexander Singh Alvarado
摘要： 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：US10650699B2
公开(公告)日：2020-05-12
申请号：US15264976
申请日：2016-09-14
申请人： Apple Inc.
发明人： Craig H. Mermel , Alexander Singh Alvarado , Daniel M. Trietsch , Hung A. Pham , Karthik Jayaraman Raghuram , Richard Channing Moore, III
摘要： 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：US10699594B2
公开(公告)日：2020-06-30
申请号：US15264976
申请日：2016-09-14
申请人： Apple Inc.
发明人： Craig H. Mermel , Alexander Singh Alvarado , Daniel M. Trietsch , Hung A. Pham , Karthik Jayaraman Raghuram , Richard Channing Moore, III
摘要： 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：US10694994B2
公开(公告)日：2020-06-30
申请号：US15466397
申请日：2017-03-22
申请人： Apple Inc.
发明人： Alexander Singh Alvarado , Craig H. Mermel , Hung A. Pham , Karthik Jayaraman Raghuram , Xing Tan
IPC分类号： A61B5/00 , A61B5/0205 , A61B5/024 , A61B5/083 , A61B5/11
摘要： A relationship relating a load of exercise and a user's aerobic capacity may be determined as follows. A processor circuit of a device may retrieve, from a memory, a prior probability distribution of the load of exercise and a prior probability distribution of the user's aerobic capacity. The processor circuit may compute a joint prior probability of the load of exercise and the user's aerobic capacity. The processor circuit may compute a joint likelihood of the load of exercise and the user's aerobic capacity based on data indicative of a measured time-stamped work rate and a measured time-stamped heart rate. The processor circuit may combine the joint prior probability and the joint likelihood to produce a joint posterior probability. The processor circuit may use the joint posterior probability to determine a relationship relating the load of exercise and the user's aerobic capacity and output a calorie calculation.
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公开(公告)号：US20180050235A1
公开(公告)日：2018-02-22
申请号：US15679538
申请日：2017-08-17
申请人： Apple Inc.
发明人： Xing Tan , Karthik Jayaraman Raghuram , Adeeti Ullal , Craig H. Mermel , Daniel M. Trietsch , Alexander Singh Alvarado
CPC分类号： A63B24/0062 , A61B5/02416 , A61B5/1116 , A61B5/1118 , A61B5/681 , A61B5/6898 , A61B2503/10 , A61B2560/0252 , A61B2562/0219 , A63B2220/836 , A63B2225/50
摘要： 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：US20180049694A1
公开(公告)日：2018-02-22
申请号：US15678645
申请日：2017-08-16
申请人： Apple Inc.
CPC分类号： A61B5/4866 , A61B5/0022 , A61B5/02416 , A61B5/02438 , A61B5/1112 , A61B5/1116 , A61B5/681 , A61B2503/10 , A61B2560/0242 , A63B2230/75 , G16H40/67
摘要： A method and a system for determining an individual energy expenditure are described. In some embodiments, an energy expenditure can be calculated based on a combination of biometrics, heart rate and work rate. In some embodiments, a relative drag associated with the user can be calculated based on a group formation size, a group formation shape, participant velocities, weather, air density, and participant body surface areas. In some embodiments, a load adjustment factor can be determined based on the relative drag. In some embodiments, an adjusted energy expenditure can be determined based on the load adjustment factor.
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