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1. 发明申请

US20140254867A1 USER BODY ANGLE, CURVATURE AND AVERAGE EXTREMITY POSITIONS EXTRACTION USING DEPTH IMAGES 有权
标题翻译：使用深度图像的用户身体角度，弯曲度和平均极限位置提取
公开(公告)号：US20140254867A1
公开(公告)日：2014-09-11
申请号：US13790731
申请日：2013-03-08
申请人： MICROSOFT CORPORATION
发明人： Jonathan Hoof , Anis Ahmad , Daniel Kennett
IPC分类号： G06K9/46
CPC分类号： G06K9/00342 , A63F13/06 , A63F13/213 , A63F13/428 , A63F2300/1093 , A63F2300/6045 , G06K9/00369 , G06K9/4604 , G06T7/11 , G06T7/20 , G06T7/246 , G06T7/60 , G06T7/73 , G06T7/75 , G06T2207/10016 , G06T2207/10021 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196 , G06T2207/30221 , G06T2207/30241
摘要： Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. In certain embodiments, information indicative of an angle and/or curvature of a user's body is extracted from a depth image. This can be accomplished by fitting a curve to a portion of a plurality of pixels (of the depth image) that correspond to the user, and determining the information indicative of the angle and/or curvature of the user's body based on the fitted curve. An application is then updated based on the information indicative of the angle and/or curvature of the user's body. In certain embodiments, one or more average extremity positions of a user, which can also be referred to as average positions of extremity blobs, are extracted from a depth image. An application is then updated based on the average positions of extremity blobs.
摘要翻译：本文描述的实施例使用深度图像来提取用户行为，其中每个深度图像指定多个像素对应于用户。在某些实施例中，从深度图像中提取指示用户身体的角度和/或曲率的信息。这可以通过将曲线拟合到与用户对应的多个像素（深度图像）的一部分，并且基于拟合曲线确定指示用户身体的角度和/或曲率的信息。然后基于指示用户身体的角度和/或曲率的信息来更新应用程序。在某些实施例中，从深度图像中提取用户的一个或多个平均末端位置，其也可以被称为肢体斑块的平均位置。然后根据肢体斑点的平均位置更新应用程序。

2. 发明申请

US20140270387A1 SIGNAL ANALYSIS FOR REPETITION DETECTION AND ANALYSIS 有权
标题翻译：信号分析用于重复检测和分析
公开(公告)号：US20140270387A1
公开(公告)日：2014-09-18
申请号：US13804619
申请日：2013-03-14
申请人： MICROSOFT CORPORATION
发明人： Jonathan R. Hoof , Daniel G. Kennett , Anis Ahmad
IPC分类号： G06T7/20 , G06F3/01
CPC分类号： G06T7/2086 , A63F13/06 , A63F2300/1087 , A63F2300/6045 , A63F2300/69 , G06F3/017 , G06T7/285
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图像中捕获的重复的用户运动。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。参数信号被分为括号，其中描述了重复运动的一次重复与其他重复运动的重复。使用信号处理技术来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。

3. 发明授权

US09135516B2 User body angle, curvature and average extremity positions extraction using depth images 有权
标题翻译：使用深度图像的用户体角，曲率和平均末端位置提取
公开(公告)号：US09135516B2
公开(公告)日：2015-09-15
申请号：US13790731
申请日：2013-03-08
申请人： Microsoft Corporation
发明人： Jonathan Hoof , Anis Ahmad , Daniel Kennett
IPC分类号： G06K9/00 , G06K9/46 , A63F13/20 , G06T7/00 , G06T7/20 , G06T7/60
CPC分类号： G06K9/00342 , A63F13/06 , A63F13/213 , A63F13/428 , A63F2300/1093 , A63F2300/6045 , G06K9/00369 , G06K9/4604 , G06T7/11 , G06T7/20 , G06T7/246 , G06T7/60 , G06T7/73 , G06T7/75 , G06T2207/10016 , G06T2207/10021 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196 , G06T2207/30221 , G06T2207/30241
摘要： Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. In certain embodiments, information indicative of an angle and/or curvature of a user's body is extracted from a depth image. This can be accomplished by fitting a curve to a portion of a plurality of pixels (of the depth image) that correspond to the user, and determining the information indicative of the angle and/or curvature of the user's body based on the fitted curve. An application is then updated based on the information indicative of the angle and/or curvature of the user's body. In certain embodiments, one or more average extremity positions of a user, which can also be referred to as average positions of extremity blobs, are extracted from a depth image. An application is then updated based on the average positions of extremity blobs.
摘要翻译：本文描述的实施例使用深度图像来提取用户行为，其中每个深度图像指定多个像素对应于用户。在某些实施例中，从深度图像中提取指示用户身体的角度和/或曲率的信息。这可以通过将曲线拟合到与用户对应的多个像素（深度图像）的一部分，并且基于拟合曲线确定指示用户身体的角度和/或曲率的信息。然后基于指示用户身体的角度和/或曲率的信息来更新应用程序。在某些实施例中，从深度图像中提取用户的一个或多个平均末端位置，其也可以被称为肢体斑块的平均位置。然后根据肢体斑点的平均位置更新应用程序。

4. 发明授权

US09052746B2 User center-of-mass and mass distribution extraction using depth images 有权
标题翻译：使用深度图像的用户质量和质量分布提取
公开(公告)号：US09052746B2
公开(公告)日：2015-06-09
申请号：US13768400
申请日：2013-02-15
申请人： Microsoft Corporation
发明人： Daniel Kennett , Jonathan Hoof , Anis Ahmad
IPC分类号： G06F3/033 , G06F3/01 , G06K9/00 , G06T7/60
CPC分类号： G06F3/017 , G06K9/00335 , G06T7/66 , G06T2207/10028 , G06T2207/30196
摘要： Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. A depth-based center-of-mass position is determined for the plurality of pixels that correspond to the user. Additionally, a depth-based inertia tensor can also be determined for the plurality of pixels that correspond to the user. In certain embodiments, the plurality of pixels that correspond to the user are divided into quadrants and a depth-based quadrant center-of-mass position is determined for each of the quadrants. Additionally, a depth-based quadrant inertia tensor can be determined for each of the quadrants. Based on one or more of the depth-based center-of-mass position, the depth-based inertial tensor, the depth-based quadrant center-of-mass positions or the depth-based quadrant inertia tensors, an application is updated.
摘要翻译：本文描述的实施例使用深度图像来提取用户行为，其中每个深度图像指定多个像素对应于用户。针对与用户对应的多个像素确定基于深度的质心位置。此外，还可以为对应于用户的多个像素确定基于深度的惯性张量。在某些实施例中，对应于用户的多个像素被划分成象限，并且为每个象限确定基于深度的象限中心位置。另外，可以为每个象限确定基于深度的象限惯性张量。基于基于深度的质量中心位置，基于深度的惯性张量，基于深度的象限质心位置或基于深度的象限惯性张量中的一个或多个，应用被更新。

5. 发明申请

US20140267610A1 DEPTH IMAGE PROCESSING 有权
标题翻译：深度图像处理
公开(公告)号：US20140267610A1
公开(公告)日：2014-09-18
申请号：US13801966
申请日：2013-03-13
申请人： MICROSOFT CORPORATION
发明人： Anis Ahmad , Jonathan Hoof , Daniel Kennett
IPC分类号： G06K9/00
CPC分类号： G06K9/00201 , G06T5/005 , G06T19/00 , G06T2207/10028
摘要： Embodiments described herein can be used to detect holes in a subset of pixels of a depth image that has been specified as corresponding to a user, and to fill such detected holes. Additionally, embodiments described herein can be used to produce a low resolution version of a subset of pixels that has been specified as corresponding to a user, so that when an image including a representation of the user is displayed, the image respects the shape of the user, yet is not a mirror image of the user. Further, embodiments described herein can be used to identify pixels, of a subset of pixels specified as corresponding to the user, that likely correspond to a floor supporting the user. This enables the removal of the pixels, identified as likely corresponding to the floor, from the subset of pixels specified as corresponding to the user.
摘要翻译：本文描述的实施例可以用于检测已经被指定为对应于用户的深度图像的像素的子集中的孔，并且填充这些检测到的孔。另外，本文描述的实施例可以用于产生已被指定为对应于用户的像素子集的低分辨率版本，使得当显示包括用户的表示的图像时，图像表示形状用户，但不是用户的镜像。此外，本文描述的实施例可以用于识别可能对应于支持用户的楼层的指定为对应于用户的像素的子集的像素。这使得能够从被指定为对应于用户的像素的子集中移除被识别为可能对应于底层的像素。

6. 发明申请

US20160110868A1 Facial Skin Mask Generation for Heart Rate Detection 有权
标题翻译：用于心率检测的面部皮肤面膜生成
公开(公告)号：US20160110868A1
公开(公告)日：2016-04-21
申请号：US14518596
申请日：2014-10-20
申请人： Microsoft Corporation
发明人： Beibei Cheng , Benjamin William Walker , Jonathan Ross Hoof , Daniel Kennett , Anis Ahmad
IPC分类号： G06T7/00 , G06T7/40
CPC分类号： G06T7/0012 , A61B5/024 , G06K9/00234 , G06K9/00335 , G06K9/6267 , G06T7/0014 , G06T7/50 , G06T7/70 , G06T7/90 , G06T11/60 , G06T2207/10024 , G06T2207/10048 , G06T2207/30048 , G06T2207/30088 , G06T2207/30196 , H04N5/33
摘要： A facial skin mask may be generated based on isolating a head part in a captured image, removing a first pixel that is indicative of non-skin from the head part in the captured image, and removing a second pixel that is indicative of having a high velocity from the head part in the captured image. Heart rate may be detected based on the change of color of the pixels of the generated facial skin mask
摘要翻译：可以基于在捕获的图像中分离头部来产生面部皮肤掩模，从捕获的图像中的头部移除指示非皮肤的第一像素，以及去除指示具有高的部分的第二像素拍摄图像中头部的速度。可以基于生成的面部皮肤掩模的像素的颜色的变化来检测心率

7. 发明申请

US20140316293A1 OPTICAL HEARTRATE TRACKING 有权
标题翻译：光学心跳跟踪
公开(公告)号：US20140316293A1
公开(公告)日：2014-10-23
申请号：US13869016
申请日：2013-04-23
申请人： MICROSOFT CORPORATION
发明人： Anis Ahmad , Ben Walker , Daniel Kennett , Andrew Flavell
IPC分类号： A61B5/024 , A61B5/00
CPC分类号： A61B5/024 , A61B5/0077 , A61B5/02416 , A61B5/6887 , A61B5/7207 , A61B5/725 , A61B5/7257
摘要： Heartrate tracking is performed entirely optically without the subject being required to wear any monitoring equipment by processing a combination of signals representing frames of video of the sinusoidal motion of a subject's facial skin color changes captured by both IR and visible light (e.g., RGB—red/green/blue) cameras. The IR and RGB graphs that result from the processing are perfectly phase-shifted so that when the IR signal is going down in amplitude, the RGB signal is going up. Such phase-shifting enables the optical heartrate tracking to utilize diverse input feeds so that a tracked signal is accepted as the user's true heartrate when both IR and RGB signals are well correlated.
摘要翻译：心率跟踪完全光学地执行，而不需要受试者佩戴任何监视设备，通过处理表示由IR和可见光捕获的被摄体的面部皮肤颜色变化的正弦运动的视频帧的信号的组合（例如，RGB-红色 /绿/蓝）相机。由处理产生的红外和RGB图形完全相位偏移，因此当红外信号幅度下降时，RGB信号上升。这种相移使得光心率跟踪能够利用不同的输入馈送，使得当IR和RGB信号都良好相关时，被跟踪的信号被接受为用户的真实心率。

8. 发明申请

US20140232650A1 User Center-Of-Mass And Mass Distribution Extraction Using Depth Images 有权
标题翻译：使用深度图像的用户质量和质量分布提取中心
公开(公告)号：US20140232650A1
公开(公告)日：2014-08-21
申请号：US13768400
申请日：2013-02-15
申请人： MICROSOFT CORPORATION
发明人： Daniel Kennett , Jonathan Hoof , Anis Ahmad
IPC分类号： G06F3/01 , G06K9/00
CPC分类号： G06F3/017 , G06K9/00335 , G06T7/66 , G06T2207/10028 , G06T2207/30196
摘要： Embodiments described herein use depth images to extract user behavior, wherein each depth image specifies that a plurality of pixels correspond to a user. A depth-based center-of-mass position is determined for the plurality of pixels that correspond to the user. Additionally, a depth-based inertia tensor can also be determined for the plurality of pixels that correspond to the user. In certain embodiments, the plurality of pixels that correspond to the user are divided into quadrants and a depth-based quadrant center-of-mass position is determined for each of the quadrants. Additionally, a depth-based quadrant inertia tensor can be determined for each of the quadrants. Based on one or more of the depth-based center-of-mass position, the depth-based inertial tensor, the depth-based quadrant center-of-mass positions or the depth-based quadrant inertia tensors, an application is updated.
摘要翻译：本文描述的实施例使用深度图像来提取用户行为，其中每个深度图像指定多个像素对应于用户。针对与用户对应的多个像素确定基于深度的质心位置。此外，还可以为对应于用户的多个像素确定基于深度的惯性张量。在某些实施例中，对应于用户的多个像素被划分成象限，并且为每个象限确定基于深度的象限中心位置。另外，可以为每个象限确定基于深度的象限惯性张量。基于基于深度的质量中心位置，基于深度的惯性张量，基于深度的象限质心位置或基于深度的象限惯性张量中的一个或多个，应用被更新。

9. 发明授权

US09159140B2 Signal analysis for repetition detection and analysis 有权
标题翻译：重复检测和分析的信号分析
公开(公告)号：US09159140B2
公开(公告)日：2015-10-13
申请号：US13804619
申请日：2013-03-14
申请人： Microsoft Corporation
发明人： Jonathan R. Hoof , Daniel G. Kennett , Anis Ahmad
IPC分类号： G06K9/00 , G06T7/20 , G06F3/01 , A63F13/20
CPC分类号： G06T7/2086 , A63F13/06 , A63F2300/1087 , A63F2300/6045 , A63F2300/69 , G06F3/017 , G06T7/285
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图像中捕获的重复的用户运动。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与时间的参数信号。参数信号被分为括号，其中描述了重复运动的一次重复与其他重复运动的重复。使用信号处理技术来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。

10. 发明授权

US09092657B2 Depth image processing 有权
标题翻译：深度图像处理
公开(公告)号：US09092657B2
公开(公告)日：2015-07-28
申请号：US13801966
申请日：2013-03-13
申请人： Microsoft Corporation
发明人： Anis Ahmad , Jonathan Hoof , Daniel Kennett
IPC分类号： H04N13/02 , G06K9/00 , G06T5/00
CPC分类号： G06K9/00201 , G06T5/005 , G06T19/00 , G06T2207/10028
摘要： Embodiments described herein can be used to detect holes in a subset of pixels of a depth image that has been specified as corresponding to a user, and to fill such detected holes. Additionally, embodiments described herein can be used to produce a low resolution version of a subset of pixels that has been specified as corresponding to a user, so that when an image including a representation of the user is displayed, the image respects the shape of the user, yet is not a mirror image of the user. Further, embodiments described herein can be used to identify pixels, of a subset of pixels specified as corresponding to the user, that likely correspond to a floor supporting the user. This enables the removal of the pixels, identified as likely corresponding to the floor, from the subset of pixels specified as corresponding to the user.
摘要翻译：本文描述的实施例可以用于检测已经被指定为对应于用户的深度图像的像素的子集中的孔，并且填充这些检测到的孔。另外，本文描述的实施例可以用于产生已被指定为对应于用户的像素子集的低分辨率版本，使得当显示包括用户的表示的图像时，图像表示形状用户，但不是用户的镜像。此外，本文描述的实施例可以用于识别可能对应于支持用户的楼层的指定为对应于用户的像素的子集的像素。这使得能够从被指定为对应于用户的像素的子集中移除被识别为可能对应于底层的像素。

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