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    WEARABLE COMPUTER WITH FITNESS MACHINE CONNECTIVITY FOR IMPROVED ACTIVITY MONITORING USING CALORIC EXPENDITURE MODELS
    3.
    发明申请
    WEARABLE COMPUTER WITH FITNESS MACHINE CONNECTIVITY FOR IMPROVED ACTIVITY MONITORING USING CALORIC EXPENDITURE MODELS 审中-公开

    公开(公告)号：US20190008394A1

    公开(公告)日：2019-01-10

    申请号：US16129664

    申请日：2018-09-12

    Applicant: Apple Inc.

    Inventor： Bharath Narasimha Rao ,  Jennifer Strasser ,  Umamahesh Srinivas ,  Kevin Sheridan ,  James Ochs ,  Vinay R. Majjigi ,  Karthik Jayaraman Raghuram ,  Olivier Humblet ,  Jay Blahnik

    IPC: A61B5/024 ,  A61B5/083 ,  A61B5/11 ,  A61B5/00 ,  A63B22/02

    Abstract: Embodiments are disclosed for a wireless wearable computer with fitness machine connectivity for improved activity monitoring using caloric expenditure models. In an embodiment, a method comprises: establishing, by a processor of a wireless wearable computer worn by a user, a wireless communication connection with a fitness machine; obtaining, by the processor using the communication connection, machine data from the fitness machine while the user is engaged in a workout session on the fitness machine; obtaining, from a heart rate sensor of the wireless device, heart rate data of the user; determining, by the processor, a work rate caloric expenditure by applying a work rate calorie model to the machine data; determining, by the processor, a calibrated maximal oxygen consumption of the user based on the heart rate data and the work rate caloric expenditure; determining, by the processor, a heart rate caloric expenditure by applying a heart rate calorie model to the heart rate data and the calibrated maximal oxygen consumption of the user; and sending, by the processor to the fitness machine via the communication connection, at least one of the work rate caloric expenditure or the heart rate caloric expenditure.

    Estimating caloric expenditure using heart rate model specific to motion class
    5.
    发明授权
    Estimating caloric expenditure using heart rate model specific to motion class 有权

    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.

    Estimating Caloric Expenditure using Heart Rate Model Specific to Motion Class
    6.
    发明申请
    Estimating Caloric Expenditure using Heart Rate Model Specific to Motion Class 有权

    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

    IPC: A61B5/00 ,  A61B5/11 ,  A61B5/0205 ,  G16H20/30 ,  G16H40/67 ,  G16H50/30 ,  G16H10/60

    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.

    Estimating Caloric Expenditure Based on Center of Mass Motion and Heart Rate
    7.
    发明申请
    Estimating Caloric Expenditure Based on Center of Mass Motion and Heart Rate 有权

    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

    IPC: A61B5/11 ,  A61B5/00 ,  A61B5/024

    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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