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    Intelligent motion capture element
    2.
    发明授权
    Intelligent motion capture element 有权

    公开(公告)号：US10607068B2

    公开(公告)日：2020-03-31

    申请号：US15866382

    申请日：2018-01-09

    Applicant: BLAST MOTION INC.

    Inventor： Bhaskar Bose ,  Michael Bentley ,  John Goree ,  Tim Haynes

    IPC: H04N7/18 ,  G06K9/00 ,  A63F13/211 ,  A63F13/65 ,  A63F13/212 ,  G06Q10/08 ,  H04M1/725 ,  A61B5/11 ,  A63B24/00 ,  A63F13/213 ,  H04N5/232 ,  H04N17/00

    Abstract: Intelligent motion capture element that includes sensor personalities that optimize the sensor for specific movements and/or pieces of equipment and/or clothing and may be retrofitted onto existing equipment or interchanged therebetween and automatically detected for example to switch personalities. May be used for low power applications and accurate data capture for use in healthcare compliance, sporting, gaming, military, virtual reality, industrial, retail loss tracking, security, baby and elderly monitoring and other applications for example obtained from a motion capture element and relayed to a database via a mobile phone. System obtains data from motion capture elements, analyzes data and stores data in database for use in these applications and/or data mining. Enables unique displays associated with the user, such as 3D overlays onto images of the user to visually depict the captured motion data. Enables performance related equipment fitting and purchase. Includes active and passive identifier capabilities.

    INITIALIZING AN INERTIAL SENSOR USING SOFT CONSTRAINTS AND PENALTY FUNCTIONS
    4.
    发明申请
    INITIALIZING AN INERTIAL SENSOR USING SOFT CONSTRAINTS AND PENALTY FUNCTIONS 有权
    使用软约束和惩罚功能初始化惯性传感器

    公开(公告)号：US20140229138A1

    公开(公告)日：2014-08-14

    申请号：US14258291

    申请日：2014-04-22

    Applicant: BLAST MOTION, INC.

    Inventor： John Goree ,  Bhaskar Bose ,  Piyush Gupta

    IPC: G01P15/02

    CPC classification number: G01P15/02 ,  A63F13/00 ,  G01C25/005 ,  G06Q10/0833 ,  H04M1/7253 ,  H04M2250/12 ,  H04N7/18

    Abstract: An initialization method for an inertial sensor that estimates starting orientation and velocity without requiring the sensor to start at rest or in a well-known location or orientation. Initialization uses patterns of motion encoded as a set of soft constraints that are expected to hold approximately during an initialization period. Penalty metrics are defined to measure the deviation of calculated motion trajectories from the soft constraints. Differential equations of motion for an inertial sensor are solved with the initial conditions as variables; the initial conditions that minimize the penalty metrics are used as estimates for the actual initial conditions of the sensor. Soft constraints and penalty metrics for a specific application are chosen based on the types of motion patterns expected for this application. Illustrative cases include applications with relatively little movement during initialization, and applications with approximately periodic motion during initialization.

    Abstract translation: 用于惯性传感器的初始化方法，其估计起始方向和速度，而不需要传感器在静止或公知的位置或取向开始。 初始化使用被编码为一组软约束的运动模式，预期在初始化期间将保持约束。 惩罚度量被定义为测量计算的运动轨迹与软约束的偏差。 惯性传感器的运动微分方程用初始条件作为变量求解; 使用最小化惩罚度量的初始条件用作传感器的实际初始条件的估计。 基于针对该应用预期的运动模式的类型来选择特定应用的软约束和惩罚度量。 说明性的情况包括初始化期间移动相对较少的应用程序，以及在初始化期间具有大致周期性运动的应用程序。

    Intelligent motion capture element
    5.
    发明授权
    Intelligent motion capture element 有权
    智能运动捕捉元件

    公开(公告)号：US09247212B2

    公开(公告)日：2016-01-26

    申请号：US13744384

    申请日：2013-01-17

    Applicant: BLAST MOTION, INC.

    Inventor： Bhaskar Bose ,  Michael Bentley ,  John Goree ,  Tim Haynes

    IPC: H04N9/47 ,  H04N7/18 ,  G06Q10/08 ,  H04M1/725 ,  A63F13/211 ,  A63F13/65 ,  A63F13/212

    CPC classification number: G06K9/00342 ,  A63B24/0003 ,  A63F13/211 ,  A63F13/212 ,  A63F13/213 ,  A63F13/65 ,  G06Q10/0833 ,  H04M1/7253 ,  H04M2250/12 ,  H04N5/23293 ,  H04N7/18 ,  H04N7/183 ,  H04N17/002 ,  Y02D70/00 ,  Y02D70/142 ,  Y02D70/144 ,  Y02D70/162 ,  Y02D70/164 ,  Y02D70/166 ,  Y02D70/26

    Abstract: Intelligent motion capture element that includes sensor personalities that optimize the sensor for specific movements and/or pieces of equipment and/or clothing and may be retrofitted onto existing equipment or interchanged therebetween and automatically detected for example to switch personalities. May be used for low power applications and accurate data capture for use in healthcare compliance, sporting, gaming, military, virtual reality, industrial, retail loss tracking, security, baby and elderly monitoring and other applications for example obtained from a motion capture element and relayed to a database via a mobile phone. System obtains data from motion capture elements, analyzes data and stores data in database for use in these applications and/or data mining. Enables unique displays associated with the user, such as 3D overlays onto images of the user to visually depict the captured motion data. Enables performance related equipment fitting and purchase. Includes active and passive identifier capabilities.

    Abstract translation: 智能运动捕捉元件，其包括对特定运动和/或设备和/或衣物优化传感器的传感器个性，并且可以将其改装到现有设备上或在其间互换，并自动检测以例如切换个性。 可用于低功率应用和准确的数据采集，用于医疗保健，体育，游戏，军事，虚拟现实，工业，零售损失跟踪，安全性，婴儿和老年人监测以及其他应用，例如从运动捕捉元件获得， 通过手机转发到数据库。 系统从运动捕捉元件获取数据，分析数据并将数据存储在数据库中以用于这些应用和/或数据挖掘。 启用与用户相关联的独特显示，例如3D覆盖到用户的图像上，以可视地描绘捕获的运动数据。 使性能相关的设备安装和购买。 包括主动和被动标识符功能。

    Initializing an inertial sensor using soft constraints and penalty functions
    6.
    发明授权
    Initializing an inertial sensor using soft constraints and penalty functions 有权
    使用软约束和惩罚功能初始化惯性传感器

    公开(公告)号：US08913134B2

    公开(公告)日：2014-12-16

    申请号：US14258291

    申请日：2014-04-22

    Applicant: Blast Motion, Inc.

    Inventor： John Goree ,  Bhaskar Bose ,  Piyush Gupta

    IPC: H04N7/18 ,  G01P15/00 ,  A63B15/02 ,  G01P15/02 ,  A63F13/00 ,  G06Q10/08 ,  H04M1/725

    CPC classification number: G01P15/02 ,  A63F13/00 ,  G01C25/005 ,  G06Q10/0833 ,  H04M1/7253 ,  H04M2250/12 ,  H04N7/18

    Abstract: An initialization method for an inertial sensor that estimates starting orientation and velocity without requiring the sensor to start at rest or in a well-known location or orientation. Initialization uses patterns of motion encoded as a set of soft constraints that are expected to hold approximately during an initialization period. Penalty metrics are defined to measure the deviation of calculated motion trajectories from the soft constraints. Differential equations of motion for an inertial sensor are solved with the initial conditions as variables; the initial conditions that minimize the penalty metrics are used as estimates for the actual initial conditions of the sensor. Soft constraints and penalty metrics for a specific application are chosen based on the types of motion patterns expected for this application. Illustrative cases include applications with relatively little movement during initialization, and applications with approximately periodic motion during initialization.

    Abstract translation: 用于惯性传感器的初始化方法，其估计起始方向和速度，而不需要传感器在静止或公知的位置或取向开始。 初始化使用被编码为一组软约束的运动模式，预期在初始化期间将保持约束。 惩罚度量被定义为测量计算的运动轨迹与软约束的偏差。 惯性传感器的运动微分方程用初始条件作为变量求解; 使用最小化惩罚度量的初始条件用作传感器的实际初始条件的估计。 基于针对该应用预期的运动模式的类型来选择特定应用的软约束和惩罚度量。 说明性的情况包括初始化期间移动相对较少的应用程序，以及在初始化期间具有大致周期性运动的应用程序。

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