公开(公告)号：EP3323240A1

公开(公告)日：2018-05-23

申请号：EP16825298.9

申请日：2016-07-15

申请人： Blast Motion Inc.

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

IPC分类号： H04N5/77

CPC分类号： H04N5/77 ,  A61B5/1122 ,  A61B5/1124 ,  A61B5/1128 ,  A61B5/4528 ,  A61B5/6803 ,  A61B5/6806 ,  A61B5/6831 ,  A61B5/6895 ,  A61B5/743 ,  A61B2503/10 ,  A61B2562/0219 ,  G06K9/00342 ,  G06T7/20 ,  G06T2207/30221 ,  G11B27/031 ,  G11B27/10 ,  G11B27/105 ,  G11B27/28 ,  H04N5/783 ,  H04N9/8205 ,  H04N21/23418 ,  H04N21/42201 ,  H04N21/42202 ,  H04N21/8549

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.

公开(公告)号：EP3134705B1

公开(公告)日：2019-06-19

申请号：EP15782595.1

申请日：2015-04-21

申请人： Blast Motion Inc.

发明人： GOREE, John ,  BOSE, Bhaskar ,  GUPTA, Piyush

IPC分类号： G01C25/00 ,  G01C21/16 ,  G01P21/00 ,  G01P15/02

公开(公告)号：EP3513356A1

公开(公告)日：2019-07-24

申请号：EP17851741.3

申请日：2017-09-18

申请人： Blast Motion, Inc.

发明人： BOSE, Bhaskar ,  GUPTA, Piyush ,  LOHR, Scott

IPC分类号： G06K9/00 ,  H04N7/18 ,  A63B24/00

公开(公告)号：EP3134705A1

公开(公告)日：2017-03-01

申请号：EP15782595.1

申请日：2015-04-21

申请人： Blast Motion Inc.

发明人： GOREE, John ,  BOSE, Bhaskar ,  GUPTA, Piyush

IPC分类号： G01B11/14

CPC分类号： G01P15/02 ,  G01C21/16 ,  G01C25/005 ,  G01P21/00

摘要： 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.

摘要翻译： 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，预期在初始化期间大致保持。 定义惩罚度量以测量计算的运动轨迹与软约束的偏差。 用初始条件作为变量求解惯性传感器运动的微分方程; 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。 基于针对此应用程序预期的运动模式的类型，选择特定应用程序的软约束和惩罚度量。 说明性案例包括在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近似周期性运动的