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公开(公告)号：US20210393166A1
公开(公告)日：2021-12-23
申请号：US17356355
申请日：2021-06-23
Applicant: Apple Inc.
Inventor： Matthew S. DeMers , Edith M. Arnold , Adeeti V. Ullal , Vinay R. Majjigi , Mariah W. Whitmore , Mark P. Sena , Irida Mance , Richard A. Fineman , Jaehyun Bae , Maxsim L. Gibiansky , Gabriel A. Blanco , Daniel Trietsch , Rebecca L. Clarkson , Karthik Jayaraman Raghuram
Abstract: In an example method, a computing device obtains sensor data generated by one or more accelerometers and one or more gyroscopes over a time period, including an acceleration signal indicative of an acceleration measured by the one or more accelerometers over a time period, and an orientation signal indicative of an orientation measured by the one or more gyroscopes over the time period. The one or more accelerometers and the one or more gyroscopes are physically coupled to a user walking along a surface. The computing device identifies one or more portions of the sensor data based on one or more criteria, and determines characteristics regarding a gait of the user based on the one or more portions of the sensor data, including a walking speed of the user and an asymmetry of the gait of the user.
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Patent Agency Ranking
公开(公告)号：US20240315601A1
公开(公告)日：2024-09-26
申请号：US18736346
申请日：2024-06-06
Applicant: Apple Inc.
Inventor： Matthew S. DeMers , Edith M. Arnold , Adeeti V. Ullal , Vinay R. Majjigi , Mariah W. Whitmore , Mark P. Sena , Irida Mance , Richard A. Fineman , Jaehyun Bae , Maxsim L. Gibiansky , Gabriel A. Blanco , Daniel Trietsch , Rebecca L. Clarkson , Karthik Jayaraman Raghuram
CPC classification number: A61B5/112 , A61B5/1121 , A61B5/1126 , A61B5/7278 , A61B2560/0257 , A61B2562/0219
Abstract: In an example method, a computing device obtains sensor data generated by one or more accelerometers and one or more gyroscopes over a time period, including an acceleration signal indicative of an acceleration measured by the one or more accelerometers over a time period, and an orientation signal indicative of an orientation measured by the one or more gyroscopes over the time period. The one or more accelerometers and the one or more gyroscopes are physically coupled to a user walking along a surface. The computing device identifies one or more portions of the sensor data based on one or more criteria, and determines characteristics regarding a gait of the user based on the one or more portions of the sensor data, including a walking speed of the user and an asymmetry of the gait of the user.
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公开(公告)号：US20230112071A1
公开(公告)日：2023-04-13
申请号：US17832571
申请日：2022-06-03
Applicant: Apple Inc.
Inventor： Asif Khalak , Mariah W. Whitmore , Maxsim L. Gibiansky , Richard A. Fineman , Jaehyun Bae , Sheena Sharma , Carolyn R. Oliver , Mark P. Sena , Maryam Etezadi-Amoli , Allison L. Gilmore , William R. Powers, III , Edith M. Arnold , Gabriel A. Blanco , Sohum R. Thakkar , Adeeti V. Ullal
Abstract: Embodiments are disclosed for assessing fall risk of a mobile device user. In some embodiments, a method comprises: obtaining one or more mobility metrics indicative of a user’s mobility, the mobility metrics obtained at least in part from sensor data output by at least one sensor of the mobile device; evaluating the one or more mobility metrics over one or more specified time periods to derive one or more longitudinal features; estimating a plurality of walking steadiness indicators based on a plurality of component models and the one or more longitudinal features; inferring the user’s risk of falling based at least in part on the plurality of walking steadiness indicators; and initiating an action or application on the mobile device based at least in part on the user’s risk of falling.
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公开(公告)号：US11961332B1
公开(公告)日：2024-04-16
申请号：US17338499
申请日：2021-06-03
Applicant: Apple Inc.
Inventor： William R. Powers, III , Maryam Etezadi-Amoli , Britni A. Crocker , Allison L. Gilmore , Edith M. Arnold , Hung A. Pham , Irida Mance , Sumayah F. Rahman , Katherine Niehaus , Kyle A. Reed , Maxsim L. Gibiansky , Karthik Jayaraman Raghuram , Adeeti V. Ullal
CPC classification number: G06V40/25 , A61B5/1118 , A61B5/1123 , A61B5/6802 , A61B2562/0219
Abstract: One or more electronic device may use motion and/or activity sensors to estimate a user's 6 minute walking distance. In particular, because users typically walk at less than their maximum output and in imperfect conditions, control circuitry within the device(s) may rely on walks of shorter distances to estimate the 6 minute walking distance. For example, the control circuitry may gather activity information for the user, such as heart rate, calories burned, and step count, and analyze a distance component and a speed component for periods in which the user has walked. Individual 6 minute walk distance estimates may be generated based on each of the activity information, distance component, and speed component. The distance and speed estimates may be corrected for walking behaviors that deviate from an ideal testing environment, and may then be fused with the activity estimate to generate a final 6 minute walk distance estimate.
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公开(公告)号：US20230147505A1
公开(公告)日：2023-05-11
申请号：US17985098
申请日：2022-11-10
Applicant: Apple Inc.
Inventor： Katherine Niehaus , Britni A. Crocker , Maxsim L. Gibiansky , William R. Powers, III , Allison L. Gilmore , Asif Khalak , Sheena Sharma , Richard A. Fineman , Kyle A. Reed , Karthik Jayaraman Raghuram , Adeeti V. Ullal
CPC classification number: A61B5/1118 , A61B5/4866
Abstract: Embodiments are disclosed for identifying poor cardio metabolic health using sensors of wearable devices. In an embodiment, a method comprises: obtaining estimates of maximal oxygen consumption of a user during exercise; determining at least one confidence weight based on context data; adjusting the maximal oxygen consumption estimates using the at least one confidence weight; aggregating the adjusted maximal oxygen consumption estimates to generate a summary maximal oxygen consumption estimate and corresponding confidence interval for the user; and classifying cardiorespiratory fitness of the user based on at least one of the summary maximum consumption estimate, the corresponding confidence interval, a population error model or a low cardiorespiratory fitness threshold.
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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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