中科微点-全球专利检索

  1. Login
  2. Sign Up

Search Results

9 records (took 0.011 seconds)

    Electronic Devices With Improved Aerobic Capacity Estimation
    1.
    发明公开
    Electronic Devices With Improved Aerobic Capacity Estimation 审中-公开

    公开(公告)号：US20240033573A1

    公开(公告)日：2024-02-01

    申请号：US18298183

    申请日：2023-04-10

    Applicant: Apple Inc.

    Inventor： Aditya Sarathy ,  Bharath Narasimha Rao ,  Umamahesh Srinivas

    IPC: A63B24/00 ,  A63B22/02

    CPC classification number: A63B24/0062 ,  A63B22/02 ,  A63B2230/06 ,  A63B2220/30 ,  A63B2220/16 ,  A63B2220/833 ,  A63B2220/803 ,  A63B2024/0068

    Abstract: An electronic device may use motion and/or activity sensors to estimate a user's maximum volumetric flow of oxygen (VO2 max). In particular, the electronic device may use the user's heart rate, speed, and grade to determine the VO2 max. However, in indoor environments, it may be difficult to accurately measure the user's speed and grade. Therefore, the device may receive the speed and grade from external equipment, such as exercise equipment. To ensure that the user is moving at the reported speed, a discordance detector may compare the user's cadence to an expected cadence based on the speed and grade reported by the external equipment. If the user's cadence is within an acceptable range of the expected cadence, the user's VO2 max may be estimated based on the speed and grade. If the user's cadence is not within the acceptable range, the speed and grade may be discarded or corrected.

    POSTURE TRANSITION DETECTION AND CLASSIFICATION USING LINKED BIOMECHANICAL MODEL
    4.
    发明申请
    POSTURE TRANSITION DETECTION AND CLASSIFICATION USING LINKED BIOMECHANICAL MODEL 有权

    公开(公告)号：US20230100254A1

    公开(公告)日：2023-03-30

    申请号：US17485212

    申请日：2021-09-24

    Applicant: Apple Inc.

    Inventor： Aditya Sarathy ,  Xiaoyuan Tu ,  Suresh B. Malakar ,  Hui Lin

    IPC: H04S7/00 ,  G06K9/62 ,  G06F9/448

    Abstract: Embodiments are disclosed for user posture transition detection and classification using a linked biomechanical model. In an embodiment, a method comprises: obtaining motion data from a headset worn by a user; selecting features of a linked biomechanical model based on a current posture state; determining at least one probability that a posture transition occurred based on an output of a classifier, where the output of the classifier is based on the selected features and the motion data; determining a posture transition based on the at least one probability; and performing at least one action based on detection of the posture transition.

    POSTURE AND MOTION MONITORING USING MOBILE DEVICES
    7.
    发明申请
    POSTURE AND MOTION MONITORING USING MOBILE DEVICES 有权

    公开(公告)号：US20230096949A1

    公开(公告)日：2023-03-30

    申请号：US17950664

    申请日：2022-09-22

    Applicant: Apple Inc.

    Inventor： Aditya Sarathy ,  Rene Aguirre Ramos ,  Umamahesh Srinivas ,  Yongyang Nie

    IPC: G06V40/20 ,  G06T7/50 ,  G06T7/30 ,  G06T7/73

    Abstract: Embodiments are disclosed for posture and motion monitoring using mobile devices. In an embodiment, a method comprises: obtaining motion data obtained from at least one motion sensor worn by a user; obtaining at least one frame of skeletal data of the user based on at least one of camera data or depth data; calibrating, with the at least one processor, the motion data and skeletal data to determine a calibration offset; synchronizing the motion data and skeletal data; generating, with the at least one processor, a body pose of the user by: aligning reference frames of the synchronized motion data and the synchronized skeletal data using the calibration offset; estimating the body pose of the user based on the aligned motion data and skeletal data; and classifying, using a machine learning model, the estimated body pose of the user.

Patent Agency Ranking