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    Event analysis system
    13.
    发明授权
    Event analysis system 有权
    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

    Applicant: BLAST MOTION INC.

    Inventor： Michael Bentley ,  Ryan Kaps ,  Bhaskar Bose ,  Piyush Gupta ,  Juergen Haas ,  Brian Estrem

    IPC: A63F13/12 ,  G11B27/031 ,  G06K9/00 ,  G08B21/04 ,  G06T7/20 ,  H04N7/18 ,  H04N21/422 ,  A63F13/355 ,  A63F13/212

    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。

    Intelligent motion capture element
    14.
    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。

    SENSOR AND MEDIA EVENT DETECTION SYSTEM
    15.
    发明申请
    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：US20150348591A1

    公开(公告)日：2015-12-03

    申请号：US14801631

    申请日：2015-07-16

    Applicant: BLAST MOTION INC.

    Inventor： Ryan Kaps ,  Michael Bentley ,  Bhaskar Bose

    IPC: G11B27/17 ,  G11B31/00 ,  G11B27/031

    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。

    Motion event recognition and video synchronization system and method
    16.
    发明授权
    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：US09076041B2

    公开(公告)日：2015-07-07

    申请号：US14257959

    申请日：2014-04-21

    Applicant: BLAST MOTION, INC.

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

    IPC: A63F9/24 ,  G06K9/00 ,  G11B27/17 ,  G11B31/00 ,  G11B27/022 ,  G06T7/20 ,  H04N7/18

    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。

    Initializing an inertial sensor using soft constraints and penalty functions
    17.
    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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