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1. 发明公开

EP2969080A2 CENTER OF MASS STATE VECTOR FOR ANALYZING USER MOTION IN 3D IMAGES 有权
标题翻译： MASSENMITTELPUNKTSTATUSVEKTOR ZURANALYZE DER BENUTZERBEWEGUNG在3D-BILDERN
公开(公告)号：EP2969080A2
公开(公告)日：2016-01-20
申请号：EP14723549.3
申请日：2014-03-13
申请人： Microsoft Technology Licensing, LLC
发明人： HOOF, Jonathan R. , KENNETT, Daniel G.
IPC分类号： A63F13/213 , A63F13/428 , G06T7/60 , G06F3/01
CPC分类号： G06F3/017 , A63F13/213 , A63F13/428 , G06F3/011 , G06T7/251 , G06T7/66 , G06T2200/04 , G06T2207/10016 , G06T2207/10028 , G06T2207/30196
摘要： Techniques described herein determine a center of mass state vector based on a body model. The body model may be formed by analyzing a depth image of a user who is performing some motion. The center of mass state vector may include, for example, center-of-mass position, center-of-mass velocity, center-of-mass acceleration, orientation, angular velocity, angular acceleration, inertia tensor, and angular momentum. A center of mass state vector may be determined for an individual body part or for the body as a whole. The center of mass state vector(s) may be used to analyze the user's motion.
摘要翻译：本文描述的技术基于身体模型确定质心状态向量的中心。身体模型可以通过分析正在执行某些运动的用户的深度图像来形成。质心状态向量的中心可以包括例如质心位置，质心速度，质心加速度，取向，角速度，角加速度，惯性张量和角动量。可以针对个体身体部位或身体整体确定质量状态向量的中心。质量中心矢量可用于分析用户的运动。

2. 发明授权

EP2969079B1 SIGNAL ANALYSIS FOR REPETITION DETECTION AND ANALYSIS 有权
公开(公告)号：EP2969079B1
公开(公告)日：2020-06-03
申请号：EP14715516.2
申请日：2014-03-13
申请人： Microsoft Technology Licensing, LLC
发明人： HOOF, Jonathan R. , KENNETT, Daniel G. , AHMAD, Anis
IPC分类号： G06T7/285

3. 发明授权

EP2969080B1 CENTER OF MASS STATE VECTOR FOR ANALYZING USER MOTION IN 3D IMAGES 有权
公开(公告)号：EP2969080B1
公开(公告)日：2019-01-30
申请号：EP14723549.3
申请日：2014-03-13
申请人： Microsoft Technology Licensing, LLC
发明人： HOOF, Jonathan R. , KENNETT, Daniel G.
IPC分类号： A63F13/213 , A63F13/428 , G06T7/60 , G06F3/01

4. 发明公开

EP2973219A1 MOTION ANALYSIS IN 3D IMAGES 审中-公开
标题翻译： 3D图像的运动分析
公开(公告)号：EP2973219A1
公开(公告)日：2016-01-20
申请号：EP14731411.6
申请日：2014-03-13
申请人： Microsoft Technology Licensing, LLC
发明人： KENNETT, Daniel G. , HOOF, Jonathan R.
IPC分类号： G06K9/00 , A63B24/00
CPC分类号： G06K9/00335 , G06F19/3481 , G06K9/00342 , G06K9/00993 , G09B19/0038
摘要： Disclosed herein are systems and methods for a runtime engine for analyzing user motion in a 3D image. The runtime engine is able to use different techniques to analyze the user's motion, depending on what the motion is. The runtime engine might choose a technique that depends on skeletal tracking data and/or one that instead uses image segmentation data to determine whether the user is performing the correct motion. The runtime engine might determine how to perform positional analysis or time/motion analysis of the user's performance based on what motion is being performed.

5. 发明公开

EP2969079A1 SIGNAL ANALYSIS FOR REPETITION DETECTION AND ANALYSIS 有权
标题翻译： SIGNALANALYSE ZUR WIEDERHOLUNGSERKENNUNG不动产
公开(公告)号：EP2969079A1
公开(公告)日：2016-01-20
申请号：EP14715516.2
申请日：2014-03-13
申请人： Microsoft Technology Licensing, LLC
发明人： HOOF, Jonathan R. , KENNETT, Daniel G. , AHMAD, Anis
IPC分类号： A63F13/20 , A63F13/42 , A63F13/213
摘要： Techniques described herein use signal analysis to detect and analyze repetitive user motion that is captured in a 3D image. The repetitive motion could be the user exercising. One embodiment includes analyzing image data that tracks a user performing a repetitive motion to determine data points for a parameter that is associated with the repetitive motion. The different data points are for different points in time. A parameter signal of the parameter versus time that tracks the repetitive motion is formed. The parameter signal is divided into brackets that delineate one repetition of the repetitive motion from other repetitions of the repetitive motion. A repetition in the parameter signal is analyzed using a signal processing technique. Curve fitting and/or autocorrelation may be used to analyze the repetition.
摘要翻译：本文描述的技术使用信号分析来检测和分析在3D图像中捕获的重复用户运动。重复运动可能是用户行使。一个实施例包括分析跟踪执行重复运动的用户的图像数据，以确定与重复运动相关联的参数的数据点。不同的数据点是不同的时间点。形成跟踪重复运动的参数对时间的参数信号。参数信号被分成括号，其中描述了重复运动的一个重复与其他重复运动的重复。使用信号处理技术分析参数信号中的重复。可以使用曲线拟合和/或自相关来分析重复。

6. 发明授权

EP3209398B1 SILHOUETTE-BASED LIMB FINDING 有权
公开(公告)号：EP3209398B1
公开(公告)日：2020-07-08
申请号：EP15788274.7
申请日：2015-10-16
申请人： Microsoft Technology Licensing, LLC
发明人： HOOF, Jonathan R. , KENNETT, Daniel G.
IPC分类号： A63F13/213 , A63F13/428 , G06T7/13

7. 发明公开

EP3564960A1 DYNAMIC EXERCISE CONTENT 审中-公开
公开(公告)号：EP3564960A1
公开(公告)日：2019-11-06
申请号：EP19174502.5
申请日：2013-05-15
申请人： Microsoft Technology Licensing, LLC
发明人： FLAVELL, Andrew C. , KENNETT, Daniel G. , MCCARTHY, David C.
IPC分类号： G16H20/30
摘要： Techniques for dynamic exercise content are described. In implementations, exercise content is provided that includes a variety of different selectable exercise segments that can be individually selected and played back to generate an exercise routine. For example, particular exercise segments can be selected based on user-specified exercise goals, the physical abilities of a particular user, based on various types of feedback, and so on. To assist in the selection of particular exercise segments, exercise segments can be individually tagged with descriptive information, such as using metadata tags. Embodiments can also provide a variety of different types of performance-related feedback to a user during an exercise routine.

8. 发明公开

EP3209398A1 SILHOUETTE-BASED LIMB FINDER DETERMINATION 有权
标题翻译：基于SILHOUETTE的LIMB FINDER确定
公开(公告)号：EP3209398A1
公开(公告)日：2017-08-30
申请号：EP15788274.7
申请日：2015-10-16
申请人： Microsoft Technology Licensing, LLC
发明人： HOOF, Jonathan R. , KENNETT, Daniel G.
IPC分类号： A63F13/213 , G06T7/00 , A63F13/428
摘要： A silhouette-based limb finder may be used to detect limbs from a camera image. This limb determination may be used to control an application, such as a game, or a combination with other image processing. A first distance field indicating a distance from the edge of a silhouette in an image and a second distance field indicating distance from a location in the silhouette may be used to generate a path from an extremity point on the silhouette to the location. This path then may be used to determine a limb in the silhouette. This allows tracking of limbs even for hard to detect player poses.
摘要翻译：可以使用基于轮廓的肢体取景器来从相机图像中检测肢体。该肢体确定可以用于控制诸如游戏的应用或与其他图像处理的组合。指示距离图像中的轮廓的边缘的距离的第一距离场和指示距离轮廓中的位置的距离的第二距离场可以用于生成从轮廓上的末端点到位置的路径。该路径然后可以用于确定轮廓中的肢体。即使很难检测到玩家的姿势，也可以追踪四肢。

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