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公开(公告)号：US20160058371A1
公开(公告)日：2016-03-03
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.
Abstract translation: 一方面，本公开涉及一种包括在一段时间内获得用户的多个心率测量的方法; 在一段时间内获取用户的运动数据; 分析用户的运动数据以确定多个心率测量中的每一个，相应的工作率测量; 对于所述多个心率测量中的每一个，确定第一置信水平; 对于每个对应的工作率测量，确定第二置信水平; 以及使用所述多个心率测量值估计第一能量消耗率; 使用所述多个工作率测量来估计第二能量消耗率; 以及通过将由所述第一置信度加权的所述第一能量消耗率与由所述第二置信度加权的所述第二能量消耗率组合来估计所述用户的加权能量消耗率。
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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
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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