AUTO-GENERATING A VISUAL REPRESENTATION
    1.
    发明申请
    AUTO-GENERATING A VISUAL REPRESENTATION 审中-公开
    自动生成视觉表示

    公开(公告)号:WO2011014467A3

    公开(公告)日:2011-07-07

    申请号:PCT/US2010043291

    申请日:2010-07-27

    Applicant: MICROSOFT CORP

    Abstract: Techniques for auto-generating the target's visual representation may reduce or eliminate the manual input required for the generation of the target's visual representation. For example, a system having a capture device may detect various features of a user in the physical space and make feature selections from a library of visual representation feature options based on the detected features. The system can automatically apply the selections to the visual representation of the user based on the detected features. Alternately, the system may make selections that narrow the number of options for features from which the user chooses. The system may apply the selections to the user in real time as well as make updates to the features selected and applied to the target's visual representation in real time.

    Abstract translation: 用于自动生成目标的视觉表示的技术可以减少或消除生成目标的视觉表示所需的手动输入。 例如,具有捕捉设备的系统可以检测物理空间中的用户的各种特征,并基于检测到的特征从视觉表示特征选项库中进行特征选择。 系统可以根据检测到的特征自动将选择应用于用户的视觉表示。 或者,系统可以进行选择,以缩小用户选择的功能的选项数量。 系统可以实时将选择应用于用户,并实时更新所选特征并应用于目标视觉表示。

    BRINGING A VISUAL REPRESENTATION TO LIFE VIA LEARNED INPUT FROM THE USER
    2.
    发明申请
    BRINGING A VISUAL REPRESENTATION TO LIFE VIA LEARNED INPUT FROM THE USER 审中-公开
    通过学员向用户输入视觉呈现给您的生活

    公开(公告)号:WO2011008659A3

    公开(公告)日:2011-03-31

    申请号:PCT/US2010041637

    申请日:2010-07-12

    Applicant: MICROSOFT CORP

    Abstract: Data captured with respect to a human may be analyzed and applied to a visual representation of a user such that the visual representation begins to reflect the behavioral characteristics of the user. For example, a system may have a capture device that captures data about the user in the physical space. The system may identify the user's characteristics, tendencies, voice patterns, behaviors, gestures, etc. Over time, the system may learn a user's tendencies and intelligently apply animations to the user's avatar such that the avatar behaves and responds in accordance with the identified behaviors of the user. The animations applied to the avatar may be animations selected from a library of pre-packaged animations, or the animations may be entered and recorded by the user into the avatar's avatar library.

    Abstract translation: 可以分析关于人类捕获的数据并将其应用于用户的视觉表示,使得视觉表示开始反映用户的行为特征。 例如,一个系统可能有一个捕获设备,捕获物理空间中有关用户的数据。 系统可识别用户的特征,倾向,语音模式,行为,手势等。随着时间的过去,系统可学习用户的倾向并智能地将动画应用于用户的化身,使得化身根据所识别的行为行为并响应 的用户。 应用于化身的动画可以是从预先打包的动画库中选择的动画,或者动画可以由用户输入并记录到化身的化身库中。

    GESTURE COACH
    3.
    发明申请
    GESTURE COACH 审中-公开
    教学教学

    公开(公告)号:WO2010138470A3

    公开(公告)日:2011-03-10

    申请号:PCT/US2010036005

    申请日:2010-05-25

    Applicant: MICROSOFT CORP

    CPC classification number: G06K9/00342 G06F3/017 G06F19/3481 G09B19/0038

    Abstract: A capture device may capture a user's motion and a display device may display a model that maps to the user's motion, including gestures that are applicable for control. A user may be unfamiliar with a system that maps the user's motions or not know what gestures are applicable for an executing application. A user may not understand or know how to perform gestures that are applicable for the executing application. User motion data and/or outputs of filters corresponding to gestures may be analyzed to determine those cases where assistance to the user on performing the gesture is appropriate.

    Abstract translation: 捕获设备可以捕获用户的运动,并且显示设备可以显示映射到用户运动的模型,包括适用于控制的手势。 用户可能不熟悉映射用户的运动或不知道什么手势适用于执行应用的系统。 用户可能不了解或知道如何执行适用于执行应用程序的手势。 可以分析与手势相对应的滤波器的用户运动数据和/或输出,以确定在执行手势时对用户的帮助是适当的情况。

    AUDIENCE-BASED PRESENTATION AND CUSTOMIZATION OF CONTENT
    4.
    发明申请
    AUDIENCE-BASED PRESENTATION AND CUSTOMIZATION OF CONTENT 审中-公开
    基于听觉的介绍和内容的自定义

    公开(公告)号:WO2012064565A3

    公开(公告)日:2012-08-02

    申请号:PCT/US2011058973

    申请日:2011-11-02

    Applicant: MICROSOFT CORP

    Abstract: A system and method are disclosed for delivering content customized to the specific user or users interacting with the system. The system includes one or more modules for recognizing an identity of a user. These modules may include for example a gesture recognition engine, a facial recognition engine, a body language recognition engine and a voice recognition engine. The user may also be carrying a mobile device such as a smart phone which identifies the user. One or more of these modules may cooperate to identify a user, and then customize the user's content based on the user's identity. In particular, the system receives user preferences indicating the content a user wishes to receive and the conditions under which it is to be received. Based on the user preferences and recognition of a user identity and/or other traits, the system presents content customized for a particular user.

    Abstract translation: 公开了一种系统和方法,用于递送针对与该系统交互的特定用户或用户定制的内容。 该系统包括用于识别用户身份的一个或多个模块。 这些模块可以包括例如手势识别引擎,面部识别引擎,身体语言识别引擎和语音识别引擎。 用户还可以携带识别用户的诸如智能电话的移动设备。 这些模块中的一个或多个可以协作以识别用户,然后基于用户的身份自定义用户的内容。 特别地,系统接收指示用户希望接收的内容的用户偏好以及要被接收的条件。 基于用户偏好和对用户身份和/或其他特征的识别,系统呈现针对特定用户定制的内容。

    SKELETAL JOINT RECOGNITION AND TRACKING SYSTEM
    5.
    发明申请
    SKELETAL JOINT RECOGNITION AND TRACKING SYSTEM 审中-公开
    骨骼关节识别和跟踪系统

    公开(公告)号:WO2012005893A2

    公开(公告)日:2012-01-12

    申请号:PCT/US2011040356

    申请日:2011-06-14

    Applicant: MICROSOFT CORP

    CPC classification number: G06K9/00342 G06K9/00369

    Abstract: A system and method are disclosed for recognizing and tracking a user's skeletal joints with a NUI system and further, for recognizing and tracking only some skeletal joints, such as for example a user's upper body. The system may include a limb identification engine which may use various methods to evaluate, identify and track positions of body parts of one or more users in a scene. In examples, further processing efficiency may be achieved by segmenting the field of view in smaller zones, and focusing on one zone at a time. Moreover, each zone may have its own set of predefined gestures which are recognized.

    Abstract translation: 公开了一种系统和方法,用于利用NUI系统识别和跟踪用户的骨骼关节,并且还用于识别和跟踪仅一些骨骼关节,例如用户的上身。 该系统可以包括肢体识别引擎,其可以使用各种方法来评估,识别和追踪场景中一个或多个用户的身体部位的位置。 在示例中,可以通过分割较小区域中的视场并一次聚焦一个区域来实现进一步的处理效率。 而且,每个区域可以具有其自己的一组被识别的预定义手势。

    GESTURE SHORTCUTS
    6.
    发明申请
    GESTURE SHORTCUTS 审中-公开

    公开(公告)号:WO2010138952A3

    公开(公告)日:2011-03-31

    申请号:PCT/US2010036774

    申请日:2010-05-29

    Applicant: MICROSOFT CORP

    CPC classification number: G06F3/017 G06F3/038 G06F3/0488 G06F3/04883

    Abstract: Systems, methods and computer readable media are disclosed for gesture shortcuts. A user's movement or body position is captured by a capture device of a system, and is used as input to control the system. For a system-recognized gesture, there may be a full version of the gesture and a shortcut of the gesture. Where the system recognizes that either the full version of the gesture or the shortcut of the gesture has been performed, it sends an indication that the system-recognized gesture was observed to a corresponding application. Where the shortcut comprises a subset of the full version of the gesture, and both the shortcut and the full version of the gesture are recognized as the user performs the full version of the gesture, the system recognizes that only a single performance of the gesture has occurred, and indicates to the application as such.

    Abstract translation: 公开了用于手势快捷方式的系统,方法和计算机可读介质。 用户的移动或身体位置由系统的捕获设备捕获,并被用作控制系统的输入。 对于系统识别的手势,可能存在手势的完整版本和手势的快捷方式。 在系统识别手势的完整版本或手势的快捷方式已被执行的情况下,它发送指示系统识别的手势被观察到相应的应用程序。 其中快捷方式包括手势的完整版本的子集,并且当用户执行手势的完整版本时,识别手势的快捷方式和完整版本,系统识别出仅手势的单一表现具有 发生并向应用程序指示。

    NATURAL USER INPUT FOR DRIVING INTERACTIVE STORIES

    公开(公告)号:CA2800533C

    公开(公告)日:2018-03-06

    申请号:CA2800533

    申请日:2011-06-09

    Applicant: MICROSOFT CORP

    Abstract: A system and method are disclosed for combining interactive gaming aspects into a linear story. A user may interact with the linear story via a NUI system to alter the story and the images that are presented to the user. In an example, a user may alter the story by performing a predefined exploration gesture. This gesture brings the user into the 3-D world of the displayed image. In particular, the image displayed on the screen changes to create the impression that a user is stepping into the 3-D virtual world to allow a user to examine virtual objects from different perspectives or to peer around virtual objects.

    BRINGING A VISUAL REPRESENTATION TO LIFE VIA LEARNED INPUT FROM THE USER

    公开(公告)号:CA2767788C

    公开(公告)日:2018-03-06

    申请号:CA2767788

    申请日:2010-07-12

    Applicant: MICROSOFT CORP

    Abstract: Data captured with respect to a human may be analyzed and applied to a visual representation of a user such that the visual representation begins to reflect the behavioral characteristics of the user. For example, a system may have a capture device that captures data about the user in the physical space. The system may identify the user's characteristics, tendencies, voice patterns, behaviors, gestures, etc. Over time, the system may learn a user's tendencies and intelligently apply animations to the user's avatar such that the avatar behaves and responds in accordance with the identified behaviors of the user. The animations applied to the avatar may be animations selected from a library of pre-packaged animations, or the animations may be entered and recorded by the user into the avatar's avatar library.

    CLOUD-BASED PERSONAL TRAIT PROFILE DATA

    公开(公告)号:CA2798140A1

    公开(公告)日:2011-12-01

    申请号:CA2798140

    申请日:2011-05-24

    Applicant: MICROSOFT CORP

    Abstract: A system and method is disclosed for sensing, storing and using personal trait profile data. Once sensed and stored, this personal trait profile data may be used for a variety of purposes. In one example, a user's personal trait profile data may be accessed and downloaded to different computing systems with which a user may interact so that the different systems may be instantly tuned to the user's personal traits and manner of interaction. In a further example, a user's personal trait profile data may also be used for authentication purposes.

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