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    HUMAN MOVEMENT INTELLIGENT MEASUREMENT AND DIGITAL TRAINING SYSTEM
    2.
    发明公开
    HUMAN MOVEMENT INTELLIGENT MEASUREMENT AND DIGITAL TRAINING SYSTEM 审中-公开

    公开(公告)号：US20240306943A1

    公开(公告)日：2024-09-19

    申请号：US18578620

    申请日：2022-12-29

    申请人： BEIJING AEROSPACE TIMES OPTICAL ELECTRONIC TECHNOLOGY CO LTD

    发明人： XiangTao MENG ,  Zheng XIANG ,  JiLin WANG ,  HongSheng GE

    IPC分类号： A61B5/11 ,  A61B5/00

    CPC分类号： A61B5/1128 ,  A61B5/1116 ,  A61B5/6802 ,  A61B2505/09

    摘要： Provided is a human movement intelligent measurement and digital training system, which comprises N inertial navigation wearable devices, M cameras, a data comprehensive analysis device, and a terminal. The total view field of the M cameras covers the whole movement scenario of an athlete; the inertial navigation wearable devices are fixed on limbs of the athlete in a wearable manner and measure to obtain a three-axis acceleration of the limbs of the athlete and a three-axis angular velocity under an inertial coordinate system; the data comprehensive analysis device determines movement parameters of each athlete; the terminal establishes a movement scenario and a three-dimensional model of the athlete and displays the movement process and the movement parameters of the athlete in a visual mode

    SYSTEMS AND METHODS FOR TAG-BASED DIAGNOSTIC CHAIN OF CUSTODY MANAGEMENT
    5.
    发明公开
    SYSTEMS AND METHODS FOR TAG-BASED DIAGNOSTIC CHAIN OF CUSTODY MANAGEMENT 审中-公开

    公开(公告)号：US20240211719A1

    公开(公告)日：2024-06-27

    申请号：US18391248

    申请日：2023-12-20

    申请人： ResMed Sensor Technologies Limited

    发明人： Redmond SHOULDICE ,  Michael SCANNELL ,  Roxana TIRON ,  Ehsan CHAH ,  Graeme Alexander LYON

    IPC分类号： G06K19/077 ,  A61B5/00 ,  G06K19/073

    CPC分类号： G06K19/07762 ,  A61B5/6802 ,  G06K19/07372

    摘要： A method includes providing a tag applied to an intended test subject. The tag having an anti-tamper authentication feature that is altered when the tag is removed from the test subject, and which, when altered, is rendered unsuitable for authentication. The method including providing a diagnostic device applied to a test subject. The diagnostic device interacting with the anti-tamper authentication feature of the tag. The method including authenticating the tag with the diagnostic wearable device based on the diagnostic device's interaction with the anti-tamper authentication feature. Successful authentication indicating that the test subject is the intended test subject. Unsuccessful authentication occurring when the anti-tamper authentication feature is altered. The method including collecting sensor data from the test subject via the diagnostic device. The method also including associating the collected sensor data with the intended test subject using the authentication of the tag with the diagnostic device.

    Classifying User Activity Using Multiple Sensors
    7.
    发明公开
    Classifying User Activity Using Multiple Sensors 审中-公开

    公开(公告)号：US20240197246A1

    公开(公告)日：2024-06-20

    申请号：US18118528

    申请日：2023-03-07

    申请人： Samsung Electronics Co., Ltd.

    发明人： Ebrahim Nematihosseinabadi ,  Mohsin Ahmed ,  Nafiul Rashid ,  Jilong Kuang ,  Jun Gao

    IPC分类号： A61B5/00 ,  A61B5/11

    CPC分类号： A61B5/6802 ,  A61B5/1118 ,  A61B5/7264

    摘要： In one embodiment, a method includes accessing first sensor data from a first sensor worn on a first portion of a user's body and accessing second sensor data from a second sensor worn on a second portion of the user's body. The method includes determining, based on both the first sensor data and the second sensor data, one or more first features related to the user's activity and determining, based on the first features, an initial classification of the user's activity. When the initial classification indicates a class that includes one or more subclasses that are more distinguishable by one of the sensors, then a specific subclassification may be determined based on sensor data from only that one sensor. Otherwise, the classification of the user's activity may be based on the one or more first features that use data from both sensors.