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    ACCURATE CALORIMETRY FOR INTERMITTENT EXERCISES
    11.
    发明申请
    ACCURATE CALORIMETRY FOR INTERMITTENT EXERCISES 审中-公开
    精确计算进行间歇性运动

    公开(公告)号：US20160058370A1

    公开(公告)日：2016-03-03

    申请号：US14501771

    申请日：2014-09-30

    Applicant: Apple, Inc.

    Inventor： Karthik Jayaraman RAGHURAM ,  Hung A. PHAM ,  Richard Channing MOORE, III ,  Alexander SINGH ALVARADO ,  Umamahesh SRINIVAS ,  Xing TAN

    IPC: A61B5/00 ,  A61B5/11 ,  A61B5/0205

    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, by a fitness tracking device, a plurality of heart rate measurements of the user over a period of time, wherein the plurality of heart rate measurements can include heart rate data from a heart rate sensor of the fitness tracking device; analyzing, by the fitness tracking device, the plurality of heart rate measurements to determine a rate of change of a heart rate of the user during the period of time; determining, by the fitness tracking device, that the user is experiencing an onset phase if the rate of change of the heart rate during the period of time is greater than zero; determining, by the fitness tracking device, that the user is experiencing a cool-down phase if the rate of change of the heart rate during the period of time is less than zero; estimating, by the fitness tracking device, a first rate of energy expenditure of the user if the user is experiencing an onset phase using an onset calorimetry model; and estimating, by the fitness tracking device, a second rate of energy expenditure of the user if the user is experiencing a cool-down phase using a cool-down calorimetry model.

    Abstract translation: 在一个方面，本公开涉及一种方法，包括通过健身跟踪设备在一段时间内获得用户的多个心率测量值，其中所述多个心率测量可以包括来自心脏的心率数据 速度传感器的健身追踪装置; 通过所述健身跟踪装置分析所述多个心率测量以确定所述用户在所述时间段期间的心率变化率; 如果所述时间段内的心率变化率大于零，则由所述健身跟踪装置确定所述用户正在经历起始阶段; 如果所述健康跟踪装置在所述时间段内心率的变化率小于零，则确定所述用户正在经历冷却阶段; 如果用户使用开始量热法模型正在经历起始阶段，则由健身跟踪设备估计用户的第一能量消耗速率; 以及如果所述用户使用冷却量热法模型正在经历冷却阶段，则由所述健身跟踪设备估计所述用户的第二能量消耗率。

    DETECTING SWIMMING ACTIVITIES ON A WEARABLE DEVICE
    14.
    发明申请
    DETECTING SWIMMING ACTIVITIES ON A WEARABLE DEVICE 有权

    公开(公告)号：US20210068713A1

    公开(公告)日：2021-03-11

    申请号：US17015965

    申请日：2020-09-09

    Applicant: Apple Inc.

    Inventor： Gunes DERVISOGLU ,  Einav YOGEV ,  Barak SAGIV ,  Alexander Singh ALVARADO ,  Stephen P. JACKSON ,  Karthik JAYARAMAN RAGHURAM ,  Hung A. PHAM

    IPC: A61B5/11 ,  A61B5/00 ,  A61B5/0205

    Abstract: Disclosed embodiments include wearable devices and techniques for detecting swimming activities, classifying user motion, detecting water submersion, and monitoring performance during swimming activities. By accurately and promptly detecting swimming activities and automatically distinguishing between different swimming stroke type performed during a swimming activity, the disclosure enables wearable devices to accurately calculate user performance information when users forget to start and/or stop recording swimming activities. In various embodiments, swimming activity detection techniques may improve the selectivity of motion based methods of identifying swimming activities identification by confirming motion analysis with water immersion and pressure data analysis that detects when the wearable device is submerged in water.

    TECHNIQUES FOR JOINTLY CALIBRATING LOAD AND AEROBIC CAPACITY
    18.
    发明申请
    TECHNIQUES FOR JOINTLY CALIBRATING LOAD AND AEROBIC CAPACITY 审中-公开

    公开(公告)号：US20170273619A1

    公开(公告)日：2017-09-28

    申请号：US15466397

    申请日：2017-03-22

    Applicant: Apple Inc.

    Inventor： Alexander Singh ALVARADO ,  Craig H. MERMEL ,  Hung A. PHAM ,  Karthik Jayaraman RAGHURAM ,  Xing TAN

    IPC: A61B5/00 ,  A61B5/11 ,  A61B5/024 ,  A61B5/083 ,  A63B24/00 ,  A61B5/0205

    Abstract: 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.

    LOCAL MODEL FOR CALORIMETRY
    20.
    发明申请
    LOCAL MODEL FOR CALORIMETRY 审中-公开
    本地CALRIMETRY模型

    公开(公告)号：US20160058332A1

    公开(公告)日：2016-03-03

    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: A61B5/11 ,  A61B5/00

    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, by a fitness tracking device configured to be worn by a user, a plurality of physical characteristics of the user, wherein the plurality of physical characteristics includes a first age and a sex of the user; mapping, by the fitness tracking device, 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; selecting, 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; and estimating, by the fitness tracking device, an energy expenditure rate using the first calorimetry model, wherein the fitness tracking device can include constrained resources for at least one of battery power, processor speed, and memory capacity.

    Abstract translation: 在一个方面，本公开涉及一种方法，包括通过被配置为由用户佩戴的健身跟踪装置获得用户的多个物理特征，其中所述多个物理特征包括第一年龄和性别 用户; 通过健身跟踪装置将用户的每个身体特征映射到相应的索引，其中用户的第一年龄被映射到多个年龄范围的第一年龄段的第一年龄指数，并且其中性别 用户被映射到第一性别索引; 从所述健身跟踪装置的存储器中选择多个量热法模型的第一量热法模型，其中所述第一量热法模型与包括所述用户的第一年龄指数和所述第一性别指数的每个相应指数相关联; 以及通过所述健身跟踪装置估计使用所述第一量热法模型的能量消耗率，其中所述健身跟踪装置可以包括用于电池功率，处理器速度和存储器容量中的至少一个的约束资源。

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