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公开(公告)号:US20220095957A1
公开(公告)日:2022-03-31
申请号:US17033621
申请日:2020-09-25
Applicant: Apple Inc.
Inventor: Di Wu , Hui Chen , Paige N. Stanley , James Ochs
Abstract: Embodiments are disclosed for estimating caloric expenditure based on center of mass motion and heart rate. In an embodiment, a method comprises: obtaining acceleration and rotation rate of a wearable device worn on a limb of a user; transforming the acceleration and rotation rate into an inertial frame; determining a vertical component of acceleration, rotation rate magnitude and vertical component of rotational acceleration due to limb rotation; determining a work rate (WR) based caloric expenditure based on the vertical component of acceleration, rotation rate magnitude and a correlation coefficient that measures a correlation between the vertical component of acceleration and the vertical component of rotational acceleration; obtaining heart rate (HR) data from a heart rate sensor of the wearable device; determining an HR based caloric expenditure based on the HR data; and fusing, the WR based caloric expenditure with the HR based caloric expenditure to get a fused caloric expenditure.
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公开(公告)号:US11638556B2
公开(公告)日:2023-05-02
申请号:US17033634
申请日:2020-09-25
Applicant: Apple Inc.
Inventor: Di Wu , James Ochs , Paige N. Stanley , Karthik Jayaraman Raghuram
IPC: A61B5/00 , A61B5/0205 , A61B5/11 , G16H20/30 , G16H40/67 , G16H50/30 , G16H10/60 , A61B5/024 , A61B5/145
Abstract: Embodiments are disclosed for estimating caloric expenditure using a heart rate model specific to a motion class. In an embodiment, a method comprises: obtaining acceleration and rotation rate from motion sensors of a wearable device; determining a vertical component of inertial acceleration and a vertical component of rotational acceleration from the acceleration and rotation rate, respectively; determining a magnitude of the rotation rate; determining a correlation between the inertial vertical acceleration component and rotational acceleration; determining a percentage of motion outside a dominant plane of motion; predicting a motion class based on a motion classification model that takes as input the motions, correlation and percentage; determining a likelihood the user is walking; in accordance with determining that the user is likely not walking, configuring a heart rate model based on the predicted motion class; and estimating, using the configured heart rate model, a caloric expenditure of the user.
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公开(公告)号:US20220096006A1
公开(公告)日:2022-03-31
申请号:US17033634
申请日:2020-09-25
Applicant: Apple Inc.
Inventor: Di Wu , James Ochs , Paige N. Stanley , Karthik Jayaraman Raghuram
Abstract: Embodiments are disclosed for estimating caloric expenditure using a heart rate model specific to a motion class. In an embodiment, a method comprises: obtaining acceleration and rotation rate from motion sensors of a wearable device; determining a vertical component of inertial acceleration and a vertical component of rotational acceleration from the acceleration and rotation rate, respectively; determining a magnitude of the rotation rate; determining a correlation between the inertial vertical acceleration component and rotational acceleration; determining a percentage of motion outside a dominant plane of motion; predicting a motion class based on a motion classification model that takes as input the motions, correlation and percentage; determining a likelihood the user is walking; in accordance with determining that the user is likely not walking, configuring a heart rate model based on the predicted motion class; and estimating, using the configured heart rate model, a caloric expenditure of the user.
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4.
公开(公告)号:US20250103011A1
公开(公告)日:2025-03-27
申请号:US18896745
申请日:2024-09-25
Applicant: Apple Inc.
Inventor: Di Wu , Hui Chen , James P. Ochs , Paige N. Stanley , Swaroop Pal , Mark G. Petovello , Fatemeh Ghafoori , Isaac T. Miller
Abstract: Embodiments are disclosed for estimating time outdoors and in daylight based on ambient light, motion, and location sensing. In some embodiments, a method comprises detecting daylight based on an ambient light measurement, an estimated sun elevation angle and at least one confidence threshold; determining a motion or activity state of a user based on motion sensor data; determining an indoor or outdoor class based on the motion sensor data and the ambient light detections; determining user exposure time to daylight between, before or after ambient light detections, based on the motion or activity state, and the determined indoor or outdoor class; and storing or displaying the daylight time.
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