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    • 2. 发明授权
    • Event analysis system
    • 事件分析系统
    • US09401178B2
    • 2016-07-26
    • US14801341
    • 2015-07-16
    • BLAST MOTION INC.
    • Michael BentleyRyan KapsBhaskar BosePiyush GuptaJuergen HaasBrian Estrem
    • A63F13/12G11B27/031G06K9/00G08B21/04G06T7/20H04N7/18H04N21/422A63F13/355A63F13/212
    • G11B27/031A63F13/212A63F13/355A63F2300/105A63F2300/69G06K9/00342G06K9/00724G06K9/00751G06T7/20G06T2207/30221G08B21/043G08B21/0492H04N7/181H04N21/42201H04N21/42202H04N21/42203
    • 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.
    • 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. 发明申请
    • SENSOR AND MEDIA EVENT DETECTION SYSTEM
    • 传感器和媒体事件检测系统
    • US20150348591A1
    • 2015-12-03
    • US14801631
    • 2015-07-16
    • BLAST MOTION INC.
    • Ryan KapsMichael BentleyBhaskar Bose
    • G11B27/17G11B31/00G11B27/031
    • G11B27/17A63F13/212A63F2300/105A63F2300/69G06K9/00342G06K9/00711G06K2009/00738G06T7/20G06T2207/30221G08B21/043G11B27/031H04N7/181H04N7/188
    • 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.
    • 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。