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    EXTRACTION OF USER BEHAVIOR FROM DEPTH IMAGES
    8.
    发明申请
    EXTRACTION OF USER BEHAVIOR FROM DEPTH IMAGES 有权
    从深度图像中提取用户行为

    公开(公告)号：US20150347864A1

    公开(公告)日：2015-12-03

    申请号：US14824869

    申请日：2015-08-12

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Jonathan Hoof ,  Anis Ahmad ,  Daniel Kennett

    IPC: G06K9/46 ,  G06T7/00 ,  G06T7/20 ,  G06K9/00

    CPC classification number: 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

    Abstract: 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.

    Abstract translation: 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。

    DEPTH IMAGE PROCESSING
    9.
    发明申请
    DEPTH IMAGE PROCESSING 有权
    深度图像处理

    公开(公告)号：US20150310256A1

    公开(公告)日：2015-10-29

    申请号：US14793337

    申请日：2015-07-07

    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC

    Inventor： Anis Ahmad ,  Jonathan Hoof ,  Daniel Kennett

    IPC: G06K9/00 ,  G06T5/00

    CPC classification number: G06K9/00201 ,  G06T5/005 ,  G06T19/00 ,  G06T2207/10028

    Abstract: 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.

    Abstract translation: 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。

    Optical heartrate tracking
    10.
    发明授权
    Optical heartrate tracking 有权

    公开(公告)号：US09962095B2

    公开(公告)日：2018-05-08

    申请号：US13869016

    申请日：2013-04-23

    Applicant: Microsoft Technology Licensing, LLC

    Inventor： Anis Ahmad ,  Ben Walker ,  Daniel Kennett ,  Andrew Flavell

    IPC: A61B5/024 ,  A61B5/00

    CPC classification number: A61B5/024 ,  A61B5/0077 ,  A61B5/02416 ,  A61B5/6887 ,  A61B5/7207 ,  A61B5/725 ,  A61B5/7257

    Abstract: 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.

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