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Patent Agency Ranking
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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2.发明申请公开(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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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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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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