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    MULTI-SENSOR EVENT ANALYSIS AND TAGGING SYSTEM
    1.
    发明申请
    MULTI-SENSOR EVENT ANALYSIS AND TAGGING SYSTEM 审中-公开

    公开(公告)号：US20190057508A1

    公开(公告)日：2019-02-21

    申请号：US16166490

    申请日：2018-10-22

    Applicant: Blast Motion Inc.

    Inventor： Bhaskar BOSE ,  Piyush GUPTA ,  Juergen HAAS ,  Brian ESTREM ,  Michael BENTLEY ,  Ryan KAPS

    IPC: G06T7/20 ,  G11B27/022 ,  G11B31/00 ,  G11B27/28 ,  G11B27/10 ,  A63F13/212 ,  G06K9/00 ,  G11B27/031 ,  H04N7/18 ,  A63F13/213 ,  A63F13/211

    Abstract: A system that analyzes data from multiple sensors, potentially of different types, that track motions of players, equipment, and projectiles such as balls. Data from different sensors is combined to generate integrated metrics for events and activities. Illustrative sensors may include inertial sensors, cameras, radars, and light gates. As an illustrative example, a video camera may track motion of a pitched baseball, and an inertial sensor may track motion of a bat; the system may use the combined data to analyze the effectiveness of the swing in hitting the pitch. The system may also use sensor data to automatically select or generate tags for an event; tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags.

    MULTI-SENSOR EVENT ANALYSIS AND TAGGING SYSTEM
    3.
    发明申请
    MULTI-SENSOR EVENT ANALYSIS AND TAGGING SYSTEM 有权
    多传感器事件分析和标签系统

    公开(公告)号：US20160217325A1

    公开(公告)日：2016-07-28

    申请号：US15087776

    申请日：2016-03-31

    Applicant: Blast Motion Inc.

    Inventor： Bhaskar BOSE ,  Piyush GUPTA ,  Juergen HAAS ,  Brian ESTREM ,  Michael BENTLEY ,  Ryan KAPS

    IPC: G06K9/00 ,  A63F13/211 ,  G11B27/031 ,  A63F13/812 ,  G11B27/10 ,  G06T7/20 ,  A63F13/213

    CPC classification number: G06T7/20 ,  A63F13/00 ,  A63F13/211 ,  A63F13/212 ,  A63F13/213 ,  A63F13/812 ,  A63F2300/105 ,  A63F2300/69 ,  G06K9/00342 ,  G06K9/00711 ,  G06K2009/00738 ,  G06T2207/30221 ,  G06T2207/30241 ,  G08B21/043 ,  G08B21/0492 ,  G11B27/022 ,  G11B27/031 ,  G11B27/10 ,  G11B27/17 ,  G11B31/006 ,  H04N7/181

    Abstract: A system that analyzes data from multiple sensors, potentially of different types, that track motions of players, equipment, and projectiles such as balls. Data from different sensors is combined to generate integrated metrics for events and activities. Illustrative sensors may include inertial sensors, cameras, radars, and light gates. As an illustrative example, a video camera may track motion of a pitched baseball, and an inertial sensor may track motion of a bat; the system may use the combined data to analyze the effectiveness of the swing in hitting the pitch. The system may also use sensor data to automatically select or generate tags for an event; tags may represent for example activity types, players, performance levels, or scoring results. The system may analyze social media postings to confirm or augment event tags. Users may filter and analyze saved events based on the assigned tags.

    Abstract translation: 分析来自不同类型的多个传感器的数据的系统，跟踪球员，设备和诸如球的射弹的运动。 来自不同传感器的数据被组合以产生用于事件和活动的集成度量。 说明性的传感器可以包括惯性传感器，照相机，雷达和光门。 作为说明性示例，摄像机可以跟踪俯仰的棒球的运动，并且惯性传感器可以跟踪蝙蝠的运动; 系统可以使用组合数据来分析挥杆在击球时的有效性。 系统还可以使用传感器数据来自动选择或生成事件的标签; 标签可以表示例如活动类型，玩家，表现水平或评分结果。 该系统可以分析社交媒体发布以确认或增加事件标签。 用户可以根据分配的标签过滤和分析保存的事件。

    EVENT ANALYSIS SYSTEM
    4.
    发明申请
    EVENT ANALYSIS SYSTEM 有权
    事件分析系统

    公开(公告)号：US20150317801A1

    公开(公告)日：2015-11-05

    申请号：US14801341

    申请日：2015-07-16

    Applicant: BLAST MOTION INC.

    Inventor： Michael BENTLEY ,  Ryan Kaps ,  Bhaskar BOSE ,  Piyush GUPTA ,  Juergen HAAS ,  Brian ESTREM

    IPC: G06T7/20 ,  G06K9/00

    CPC classification number: G11B27/031 ,  A63F13/212 ,  A63F13/355 ,  A63F2300/105 ,  A63F2300/69 ,  G06K9/00342 ,  G06K9/00724 ,  G06K9/00751 ,  G06T7/20 ,  G06T2207/30221 ,  G08B21/043 ,  G08B21/0492 ,  H04N7/181 ,  H04N21/42201 ,  H04N21/42202 ,  H04N21/42203

    Abstract: Enables event analysis from sensors including environmental, physiological and motion capture sensors. Also enables displaying information based on events recognized using sensor data associated with a user, piece of equipment or based on previous motion analysis data from the user or other user(s) or other sensors. Enables intelligent analysis, synchronization, and transfer of generally concise event videos synchronized with motion data from motion capture sensor(s) coupled with a user or piece of equipment. Enables creating, transferring, obtaining, and storing concise event videos generally without non-event video. Events stored in the database identifies trends, correlations, models, and patterns in event data. Greatly saves storage and increases upload speed by uploading event videos and avoiding upload of non-pertinent portions of large videos. Creates highlight and fail reels filtered by metrics and can sort by metric. Compares motion trajectories of users and objects to optimally efficient trajectories, and to desired trajectories.

    Abstract translation: 实现来自传感器的事件分析，包括环境，生理和运动捕捉传感器。 还能够基于使用与用户，设备相关联的传感器数据识别的事件或者基于来自用户或其他用户或其他传感器的先前运动分析数据来显示信息。 实现与运动捕捉传感器（与用户或设备）耦合的运动数据同步的一般简洁的事件视频的智能分析，同步和传输。 可以创建，传输，获取和存储简洁的事件视频，而无需非事件视频。 存储在数据库中的事件标识事件数据中的趋势，相关性，模型和模式。 通过上传事件视频并避免上传大型视频的非相关部分，大大节省存储空间并提高上传速度。 创建由指标过滤的突出显示和失败卷轴，并可按指标排序。 将用户和对象的运动轨迹与最佳有效的轨迹和所需的轨迹进行比较。

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