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1. 发明授权

US10109061B2 Multi-sensor even analysis and tagging system 有权
公开(公告)号：US10109061B2
公开(公告)日：2018-10-23
申请号：US15590398
申请日：2017-05-09
申请人： Blast Motion Inc.
发明人： Bhaskar Bose , Piyush Gupta , Juergen Haas , Brian Estrem , Michael Bentley , Ryan Kaps
IPC分类号： A63F13/12 , G06T7/20 , A63F13/212 , A63F13/211 , A63F13/213 , G06K9/00 , G08B21/04 , G11B27/022 , G11B27/031 , G11B27/10 , G11B27/17 , G11B31/00 , H04N7/18
摘要： 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.

2. 发明授权

US09401178B2 Event analysis system 有权
标题翻译：事件分析系统
公开(公告)号：US09401178B2
公开(公告)日：2016-07-26
申请号：US14801341
申请日：2015-07-16
申请人： BLAST MOTION INC.
发明人： Michael Bentley , Ryan Kaps , Bhaskar Bose , Piyush Gupta , Juergen Haas , Brian Estrem
IPC分类号： A63F13/12 , G11B27/031 , G06K9/00 , G08B21/04 , G06T7/20 , H04N7/18 , H04N21/422 , A63F13/355 , A63F13/212
CPC分类号： 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
摘要： 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.
摘要翻译：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。

3. 发明授权

US10607349B2 Multi-sensor event system 有权
公开(公告)号：US10607349B2
公开(公告)日：2020-03-31
申请号：US16166490
申请日：2018-10-22
申请人： Blast Motion Inc.
发明人： Bhaskar Bose , Piyush Gupta , Juergen Haas , Brian Estrem , Michael Bentley , Ryan Kaps
IPC分类号： A63F13/211 , G06T7/20 , G11B27/17 , G11B27/022 , G11B31/00 , G06K9/00 , G08B21/04 , G11B27/031 , H04N7/18 , G11B27/28 , A63F13/00 , A63F13/213 , A63F13/812 , G11B27/10 , A63F13/212
摘要： 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.

4. 发明授权

US09646199B2 Multi-sensor event analysis and tagging system 有权
公开(公告)号：US09646199B2
公开(公告)日：2017-05-09
申请号：US15087776
申请日：2016-03-31
申请人： Blast Motion Inc.
发明人： Bhaskar Bose , Piyush Gupta , Juergen Haas , Brian Estrem , Michael Bentley , Ryan Kaps
IPC分类号： A63F13/12 , G06K9/00 , G11B27/17 , G11B27/022 , G11B31/00 , A63F13/00 , G08B21/04 , G11B27/031 , G06T7/20 , H04N7/18 , A63F13/211 , A63F13/213 , A63F13/812 , G11B27/10
CPC分类号： 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
摘要： 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.

5. 发明授权

US09911045B2 Event analysis and tagging system 有权
公开(公告)号：US09911045B2
公开(公告)日：2018-03-06
申请号：US15482902
申请日：2017-04-10
申请人： Blast Motion Inc.
发明人： Bhaskar Bose , Piyush Gupta , Juergen Haas , Brian Estrem , Michael Bentley , Ryan Kaps
IPC分类号： A63F13/10 , G06K9/00 , G06K9/78 , G11B27/031 , G11B27/10 , A63F13/211 , A63F13/65 , A63F13/35
CPC分类号： G06K9/00724 , A63F13/00 , A63F13/211 , A63F13/35 , A63F13/65 , A63F2300/105 , A63F2300/69 , G06K9/00342 , G06K9/00711 , G06K9/00751 , G06K9/78 , G06K2009/00738 , G06T7/20 , G06T2207/10016 , G06T2207/30221 , G06T2207/30241 , G08B21/043 , G08B21/0492 , G11B27/031 , G11B27/10 , H04N7/181
摘要： A system that analyzes data from sensors and video cameras to generated synchronized event videos and to automatically select or generate tags for an event. 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. 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. The system may create highlight and fail reels filtered by metrics and by tags.

6. 发明授权

US09619891B2 Event analysis and tagging system 有权
公开(公告)号：US09619891B2
公开(公告)日：2017-04-11
申请号：US15184859
申请日：2016-06-16
申请人： Blast Motion Inc.
发明人： Bhaskar Bose , Piyush Gupta , Juergen Haas , Brian Estrem , Michael Bentley , Ryan Kaps
IPC分类号： A63F13/12 , G06T7/20 , G06K9/00 , G08B21/04 , G11B27/031 , H04N7/18 , A63F13/00
CPC分类号： G06K9/00724 , A63F13/00 , A63F13/211 , A63F13/35 , A63F13/65 , A63F2300/105 , A63F2300/69 , G06K9/00342 , G06K9/00711 , G06K9/00751 , G06K9/78 , G06K2009/00738 , G06T7/20 , G06T2207/10016 , G06T2207/30221 , G06T2207/30241 , G08B21/043 , G08B21/0492 , G11B27/031 , G11B27/10 , H04N7/181
摘要： A system that analyzes data from sensors and video cameras to generated synchronized event videos and to automatically select or generate tags for an event. 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. 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. The system may create highlight and fail reels filtered by metrics and by tags.

7. 发明授权

US09396385B2 Integrated sensor and video motion analysis method 有权
标题翻译：集成传感器和视频运动分析方法
公开(公告)号：US09396385B2
公开(公告)日：2016-07-19
申请号：US14801568
申请日：2015-07-16
申请人： BLAST MOTION INC.
发明人： Michael Bentley , Bhaskar Bose , Ryan Kaps , Piyush Gupta , Juergen Haas , Brian Estrem
IPC分类号： A63F13/12 , G06K9/00 , G11B27/17 , G11B27/022 , G11B31/00 , A63F13/00 , G08B21/04 , G11B27/031 , G06T7/20 , H04N7/18
CPC分类号： 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
摘要： A method that integrates sensor data and video analysis to analyze object motion. Motion capture elements generate motion sensor data for objects of interest, and cameras generate video of these objects. Sensor data and video data are synchronized in time and aligned in space on a common coordinate system. Sensor fusion is used to generate motion metrics from the combined and integrated sensor data and video data. Integration of sensor data and video data supports robust detection of events, generation of video highlight reels or epic fail reels augmented with metrics that show interesting activity, and calculation of metrics that exceed the individual capabilities of either sensors or video analysis alone.
摘要翻译：一种将传感器数据和视频分析相结合的方法来分析物体运动。运动捕捉元素为感兴趣的对象生成运动传感器数据，并且摄像机生成这些对象的视频。传感器数据和视频数据在时间上同步，并在公共坐标系上以空间对齐。传感器融合用于从组合和集成的传感器数据和视频数据生成运动量度。传感器数据和视频数据的集成支持强大的事件检测，视频突出显示卷轴或史诗故障卷轴的生成，增强了显示有趣活动的度量，以及计算超过单独的传感器或视频分析的各个功能的度量。

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