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公开(公告)号：US20230389821A1
公开(公告)日：2023-12-07
申请号：US18205476
申请日：2023-06-02
申请人： Apple Inc.
发明人： Richard A. Fineman , Adeeti V. Ullal , Allison L. Gilmore , Gabriel A. Blanco , Karthik Jayaraman Raghuram , Mark P. Sena , Maryam Etezadi-Amoli , James J. Dunne , Po An Lin
CPC分类号： A61B5/1114 , A61B5/681 , A61B5/7264 , A61B2562/0219
摘要： Enclosed are embodiments for estimating vertical oscillation (VO) at the wrist. In some embodiments, a method comprises: obtaining, with a wearable device worn on a wrist of a user, sensor data indicative of the user's acceleration and rotation rate; estimating centripetal acceleration based on the user's acceleration and rotation rate; calculating a modified user's acceleration by subtracting the estimated centripetal acceleration from the user's acceleration; estimating center of mass (CoM) acceleration by decoupling an arm swing component of the user's acceleration from the modified user's acceleration; and computing vertical oscillation of the user's CoM using a machine learning model with at least the CoM acceleration as input to the machine learning model, or by integrating vertical acceleration derived from the CoM acceleration and a gravity vector.
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公开(公告)号：US20230392953A1
公开(公告)日：2023-12-07
申请号：US18205478
申请日：2023-06-02
申请人： Apple Inc.
发明人： Lucie A. Huet , Adeeti V. Ullal , Allison L. Gilmore , Gabriel A. Blanco , Karthik Jayaraman Raghuram , Maryam Etezadi-Amoli , Richard A. Fineman
CPC分类号： G01C22/006 , A61B5/112 , A61B5/681 , G01C25/00 , A61B2562/0219
摘要： Embodiments are disclosed for stride length estimation and calibration at the wrist. In some embodiments, a method comprises: obtaining sensor data from a wearable device worn on a wrist of a user; deriving features from the sensor data; estimating a form-based stride length using an estimation model that takes the features and user height as input; and calibrating the form-based stride length. In other embodiments, user cadence and speed are used to estimate speed-based stride length which, upon certain conditions, is blended with the form-based stride length to get a final estimated stride length 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
申请人： Apple Inc.
发明人： 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
摘要： 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
申请人： Apple Inc.
发明人： 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分类号： G06V40/25 , A61B5/1118 , A61B5/1123 , A61B5/6802 , A61B2562/0219
摘要： 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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