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    Sensor and media event detection system
    23.
    发明授权
    Sensor and media event detection system 有权
    传感器和媒体事件检测系统

    公开(公告)号：US09418705B2

    公开(公告)日：2016-08-16

    申请号：US14801631

    申请日：2015-07-16

    Applicant: BLAST MOTION INC.

    Inventor： Ryan Kaps ,  Michael Bentley ,  Bhaskar Bose

    IPC: A63F13/12 ,  G11B27/17 ,  G06K9/00 ,  G11B27/031 ,  G06T7/20 ,  H04N7/18 ,  G08B21/04

    CPC classification number: G11B27/17 ,  A63F13/212 ,  A63F2300/105 ,  A63F2300/69 ,  G06K9/00342 ,  G06K9/00711 ,  G06K2009/00738 ,  G06T7/20 ,  G06T2207/30221 ,  G08B21/043 ,  G11B27/031 ,  H04N7/181 ,  H04N7/188

    Abstract: Enables detection of events using motion capture sensors and potentially other sensors electromagnetic field, temperature, humidity, wind, pressure, elevation, light, sound, or heart rate sensors to confirm and post events, differentiate similar types of motion events to determine the type of equipment or activity or quality of the event, such proficiency. Enables motion capture data and other sensor data to be utilized to curate text, images, video, sound and post the results to social networks, for example in a dedicated feed. Embodiments of the system also may post or filter to social media sites using any other filter besides location and time and the text in the social media posts for example. May use motion or other sensor data to define and event, eliminate false positive events, post true events, and/or correlate the events with social media to confirm the events, or post the events in a particular channel.

    Abstract translation: 使用运动捕捉传感器和潜在的其他传感器电磁场，温度，湿度，风，压力，高度，光，声音或心率传感器来检测事件，以确认和发布事件，区分类似类型的运动事件以确定类型 设备或活动或质量的事件，这样的熟练程度。 启用运动捕捉数据和其他传感器数据，以便对文本，图像，视频，声音进行策划，并将结果发布到社交网络，例如在专用的Feed中。 系统的实施例还可以使用除了位置和时间之外的任何其他过滤器以及社交媒体帖子中的文本来发布或过滤到社交媒体网站。 可以使用运动或其他传感器数据来定义和事件，消除假阳性事件，发布真实事件和/或将事件与社交媒体相关联以确认事件，或将事件发布在特定频道中。

    Video and motion event integration system
    25.
    发明授权
    Video and motion event integration system 有权
    视频和运动事件集成系统

    公开(公告)号：US09235765B2

    公开(公告)日：2016-01-12

    申请号：US14549422

    申请日：2014-11-20

    Applicant: BLAST MOTION INC.

    Inventor： Michael Bentley ,  Ryan Kaps ,  Bhaskar Bose

    IPC: A63F13/12 ,  G06K9/00 ,  G11B27/17 ,  G11B27/022 ,  G11B31/00 ,  A63F13/00 ,  G06T7/20 ,  H04N7/18 ,  G08B21/04 ,  G11B27/031

    CPC classification number: G06K9/00711 ,  A63F13/00 ,  A63F2300/105 ,  A63F2300/69 ,  G06K9/00342 ,  G06K2009/00738 ,  G06T7/20 ,  G06T2207/30221 ,  G08B21/043 ,  G11B27/022 ,  G11B27/031 ,  G11B27/17 ,  G11B31/006 ,  H04N7/18 ,  H04N7/181

    Abstract: Enables intelligent 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. Greatly saves storage and increases upload speed by uploading event videos and avoiding upload of non-pertinent portions of large videos. Provides intelligent selection of multiple videos from multiple cameras covering an event at a given time, for example selecting one with least shake. Enables near real-time alteration of camera parameters during an event determined by the motion capture sensor, and alteration of playback parameters and special effects for synchronized event videos. Creates highlight reels filtered by metrics and can sort by metric. Integrates with multiple sensors to save event data even if other sensors do not detect the event. Also enables analysis or comparison of movement associated with the same user, other user, historical user or group of users.

    Abstract translation: 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同步和传输。 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。 提供智能选择多个摄像机的多个视频，覆盖某个给定时间的事件，例如选择一个震动最小的视频。 在由运动捕捉传感器确定的事件期间可近实时改变相机参数，以及更改播放参数和同步事件视频的特殊效果。 创建按指标过滤的突出显示卷轴，并可按指标排序。 与多个传感器集成，即使其他传感器未检测到事件也可以保存事件数据。 还可以分析或比较与同一用户，其他用户，历史用户或用户组相关联的移动。

    MOTION EVENT RECOGNITION AND VIDEO SYNCHRONIZATION SYSTEM AND METHOD
    26.
    发明申请
    MOTION EVENT RECOGNITION AND VIDEO SYNCHRONIZATION SYSTEM AND METHOD 有权
    运动事件识别和视频同步系统及方法

    公开(公告)号：US20140376876A1

    公开(公告)日：2014-12-25

    申请号：US14257959

    申请日：2014-04-21

    Applicant: BLAST MOTION, INC.

    Inventor： Michael Bentley ,  Ryan Kaps ,  Bhaskar Bose ,  Sheehan Alam ,  Michael Gillian ,  Mazen Abdel-Rahman

    IPC: G06K9/00 ,  G11B31/00 ,  G11B27/022 ,  G11B27/17

    CPC classification number: G06K9/00744 ,  A63F13/00 ,  A63F2300/105 ,  A63F2300/69 ,  G06F17/3079 ,  G06K9/00342 ,  G06K9/00711 ,  G06K9/00758 ,  G06K2009/00738 ,  G06T7/20 ,  G06T2207/30221 ,  G08B21/0476 ,  G11B27/022 ,  G11B27/17 ,  G11B31/006 ,  H04N7/18

    Abstract: Enables recognition of events within motion data obtained from portable wireless motion capture elements and video synchronization of the events with video as the events occur or at a later time, based on location and/or time of the event or both. May use integrated camera or external cameras with respect to mobile device to automatically generate generally smaller event videos of the event on the mobile device or server. Also enables analysis or comparison of movement associated with the same user, other user, historical user or group of users. Provides low memory and power utilization and greatly reduces storage for video data that corresponds to events such as a shot, move or swing of a player, a concussion of a player, or other medical related events or events, such as the first steps of a child, or falling events.

    Abstract translation: 根据事件的位置和/或时间或两者，使得能够识别从便携式无线运动捕捉元件获得的运动数据内的事件，以及随着事件发生或稍后时间的视频事件的视频同步。 相对于移动设备，可以使用集成摄像机或外部摄像机在移动设备或服务器上自动生成事件的一般较小事件视频。 还可以分析或比较与同一用户，其他用户，历史用户或用户组相关联的移动。 提供低内存和功率利用率，并大大减少对应于诸如玩家的镜头，移动或摆动，玩家震荡或其他医疗相关事件或事件的事件的视频数据的存储，诸如 孩子或下降的事件。

    Swing analysis method using a sweet spot trajectory
    29.
    发明授权
    Swing analysis method using a sweet spot trajectory 有权

    公开(公告)号：US10716989B2

    公开(公告)日：2020-07-21

    申请号：US16189889

    申请日：2018-11-13

    Applicant: Blast Motion Inc.

    Inventor： James Thornbrue ,  Patrick Cherveny ,  Bhaskar Bose ,  Michael Bentley ,  Ryan Kaps

    IPC: A63B69/36 ,  A63B69/00 ,  G01C21/16 ,  G01P15/08 ,  G06K9/00 ,  G01C21/00 ,  G06F19/00 ,  G06Q10/06 ,  G06T7/20 ,  G16H20/30

    Abstract: A method for analyzing sensor data from baseball swings (or swings in similar sports) that transforms data into a reference frame defined by the bat orientation and velocity at impact. The trajectory of the sweet spot of the bat is tracked through the swing, and is analyzed to generate metrics describing the swing. A two-lever model of the swing may be used to model the effects of body rotation and wrist rotation. Data may be analyzed to identify relevant events during the swing such as start of downswing, commit (wrist release), on-plane, peak bat speed, and impact. Illustrative swing metrics derived from the sweet spot trajectory, the swing plane reference frame, and the two-lever model include: forward bat speed, on-plane rotation, hinge angle at commit, hinge angle at impact, body rotation ratio, body tilt angle, and swing plane tilt angle.

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