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公开(公告)号：US09153195B2
公开(公告)日：2015-10-06
申请号：US13361923
申请日：2012-01-30
申请人： Kevin A. Geisner , Darren Bennett , Relja Markovic , Stephen G. Latta , Daniel J. McCulloch , Jason Scott , Ryan L. Hastings , Alex Aben-Athar Kipman , Andrew John Fuller , Jeffrey Neil Margolis , Kathryn Stone Perez , Sheridan Martin Small
发明人： Kevin A. Geisner , Darren Bennett , Relja Markovic , Stephen G. Latta , Daniel J. McCulloch , Jason Scott , Ryan L. Hastings , Alex Aben-Athar Kipman , Andrew John Fuller , Jeffrey Neil Margolis , Kathryn Stone Perez , Sheridan Martin Small
CPC分类号： G06T19/006 , G02B27/0172 , G02B2027/0138 , G02B2027/014 , G06F3/002 , G06F3/011 , G06F3/012 , G06F3/013 , G06F3/04842 , G06Q50/01 , G09G5/00
摘要： The technology provides contextual personal information by a mixed reality display device system being worn by a user. A user inputs person selection criteria, and the display system sends a request for data identifying at least one person in a location of the user who satisfy the person selection criteria to a cloud based application with access to user profile data for multiple users. Upon receiving data identifying the at least one person, the display system outputs data identifying the person if he or she is within the field of view. An identifier and a position indicator of the person in the location is output if not. Directional sensors on the display device may also be used for determining a position of the person. Cloud based executing software can identify and track the positions of people based on image and non-image data from display devices in the location.
摘要翻译： 该技术通过由用户佩戴的混合现实显示设备系统来提供上下文的个人信息。 用户输入人物选择标准，并且显示系统向满足用户选择标准的用户的位置的至少一个人发送数据请求，该用户可以访问多个用户的用户简档数据。 在接收到识别至少一个人的数据时，如果他或她在视野内，则显示系统输出识别该人的数据。 如果不是，则输出该位置的人的标识符和位置指示符。 显示装置上的定向传感器也可以用于确定人的位置。 基于云的执行软件可以根据位置上的显示设备的图像和非图像数据来识别和跟踪人员的位置。
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公开(公告)号：US20130177296A1
公开(公告)日：2013-07-11
申请号：US13689413
申请日：2012-11-29
IPC分类号： H04N9/80
CPC分类号： H04N9/80 , H04N5/772 , H04N9/8205
摘要： A system and method for efficiently managing life experiences captured by one or more sensors (e.g., video or still camera, image sensors including RGB sensors and depth sensors). A “life recorder” is a recording device that continuously captures life experiences, including unanticipated life experiences, in image, video, and/or audio recordings. In some embodiments, video and/or audio recordings captured by a life recorder are automatically analyzed, tagged with a set of one or more metadata, indexed, and stored for future use. By tagging and indexing life recordings, a life recorder may search for and acquire life recordings generated by itself or another life recorder, thereby allowing life experiences to be shared minutes or even years later.
摘要翻译： 一种用于有效地管理由一个或多个传感器（例如，视频或静态照相机，包括RGB传感器和深度传感器的图像传感器）捕获的生活体验的系统和方法。 “生命记录器”是在图像，视频和/或音频记录中不断捕捉生活经历（包括意外的生活体验）的记录装置。 在一些实施例中，由生命记录器捕获的视频和/或音频记录被自动分析，用一组一个或多个元数据标记，索引并存储以备将来使用。 通过对生活记录进行标签和索引，生命记录器可以搜索并获取自身或其他生命记录器生成的生命记录，从而允许在几分钟甚至几年之后共享生活体验。
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公开(公告)号：US20110285620A1
公开(公告)日：2011-11-24
申请号：US13196588
申请日：2011-08-02
IPC分类号： G09G5/00
CPC分类号： G06F3/011 , A63F13/00 , A63F2300/1012 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06F3/033 , G06F3/04883 , G06K9/00342 , G06K9/00389
摘要： Systems, methods and computer readable media are disclosed for a gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, that may then be tuned by an application receiving information from the gesture recognizer so that the specific parameters of the gesture—such as an arm acceleration for a throwing gesture—may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data.
摘要翻译： 公开了用于手势识别器系统架构的系统，方法和计算机可读介质。 提供识别引擎，其接收用户运动数据并将该数据提供给多个滤波器。 过滤器对应于手势，然后可以通过应用从手势识别器接收信息进行调整，使得手势的特定参数（例如用于投掷手势的手臂加速度）可以在每个应用程序级设置， 或在单个应用程序中多次。 每个滤波器可以使用它来输出相应手势发生的置信水平的应用，以及关于用户运动数据的进一步细节。
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公开(公告)号：US20110246329A1
公开(公告)日：2011-10-06
申请号：US12752917
申请日：2010-04-01
申请人： Kevin A. Geisner , Kudo Tsunoda , Darren Bennett , Brian S. Murphy , Stephen G. Latta , Relja Markovic , Alex Kipman
发明人： Kevin A. Geisner , Kudo Tsunoda , Darren Bennett , Brian S. Murphy , Stephen G. Latta , Relja Markovic , Alex Kipman
CPC分类号： G06Q30/0643 , G06F3/017 , G06Q30/02 , G06Q30/0641
摘要： An on-screen shopping application which reacts to a human target user's motions to provide a shopping experience to the user is provided. A tracking system captures user motions and executes a shopping application allowing a user to manipulate an on-screen representation the user. The on-screen representation has a likeness of the user or another individual and movements of the user in the on-screen interface allows the user to interact with virtual articles that represent real-world articles. User movements which are recognized as article manipulation or transaction control gestures are translated into commands for the shopping application.
摘要翻译： 提供了一种针对人类目标用户的动作以向用户提供购物体验的屏幕上购物应用。 跟踪系统捕获用户动作并执行允许用户操纵用户的屏幕上表示的购物应用程序。 屏幕上的表示具有用户或其他个体的相似性，并且用户在屏幕界面中的移动允许用户与代表真实世界文章的虚拟文章进行交互。 识别为文章处理或事务控制手势的用户移动被转换为购物应用程序的命令。
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公开(公告)号：US07996793B2
公开(公告)日：2011-08-09
申请号：US12422661
申请日：2009-04-13
CPC分类号： G06F3/011 , A63F13/00 , A63F2300/1012 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06F3/033 , G06F3/04883 , G06K9/00342 , G06K9/00389
摘要： Systems, methods and computer readable media are disclosed for a gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, that may then be tuned by an application receiving information from the gesture recognizer so that the specific parameters of the gesture—such as an arm acceleration for a throwing gesture—may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data.
摘要翻译： 公开了用于手势识别器系统架构的系统，方法和计算机可读介质。 提供识别引擎，其接收用户运动数据并将该数据提供给多个滤波器。 过滤器对应于手势，然后可以通过应用从手势识别器接收信息进行调整，使得手势的特定参数（例如用于投掷手势的手臂加速度）可以在每个应用程序级设置， 或在单个应用程序中多次。 每个滤波器可以使用它来输出相应手势发生的置信水平的应用，以及关于用户运动数据的进一步细节。
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公开(公告)号：US20100199230A1
公开(公告)日：2010-08-05
申请号：US12422661
申请日：2009-04-13
IPC分类号： G06F3/033
CPC分类号： G06F3/011 , A63F13/00 , A63F2300/1012 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06F3/033 , G06F3/04883 , G06K9/00342 , G06K9/00389
摘要： Systems, methods and computer readable media are disclosed for a gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, that may then be tuned by an application receiving information from the gesture recognizer so that the specific parameters of the gesture—such as an arm acceleration for a throwing gesture—may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data.
摘要翻译： 公开了用于手势识别器系统架构的系统，方法和计算机可读介质。 提供识别引擎，其接收用户运动数据并将该数据提供给多个滤波器。 过滤器对应于手势，然后可以通过应用从手势识别器接收信息进行调整，使得手势的特定参数（例如用于投掷手势的手臂加速度）可以在每个应用程序级设置， 或在单个应用程序中多次。 每个滤波器可以使用它来输出相应手势发生的置信水平的应用，以及关于用户运动数据的进一步细节。
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公开(公告)号：US09098873B2
公开(公告)日：2015-08-04
申请号：US12752917
申请日：2010-04-01
申请人： Kevin A. Geisner , Kudo Tsunoda , Darren Bennett , Brian S. Murphy , Stephen G. Latta , Relja Markovic , Alex Kipman
发明人： Kevin A. Geisner , Kudo Tsunoda , Darren Bennett , Brian S. Murphy , Stephen G. Latta , Relja Markovic , Alex Kipman
CPC分类号： G06Q30/0643 , G06F3/017 , G06Q30/02 , G06Q30/0641
摘要： An on-screen shopping application which reacts to a human target user's motions to provide a shopping experience to the user is provided. A tracking system captures user motions and executes a shopping application allowing a user to manipulate an on-screen representation the user. The on-screen representation has a likeness of the user or another individual and movements of the user in the on-screen interface allows the user to interact with virtual articles that represent real-world articles. User movements which are recognized as article manipulation or transaction control gestures are translated into commands for the shopping application.
摘要翻译： 提供了一种针对人类目标用户的动作以向用户提供购物体验的屏幕上购物应用。 跟踪系统捕获用户动作并执行允许用户操纵用户的屏幕上表示的购物应用程序。 屏幕上的表示具有用户或其他个体的相似性，并且用户在屏幕界面中的移动允许用户与代表真实世界文章的虚拟文章进行交互。 识别为文章处理或事务控制手势的用户移动被转换为购物应用程序的命令。
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公开(公告)号：US08782567B2
公开(公告)日：2014-07-15
申请号：US13289731
申请日：2011-11-04
IPC分类号： G06F3/048 , G06F3/033 , A63F13/00 , G06F3/0488
CPC分类号： G06F3/011 , A63F13/00 , A63F2300/1012 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06F3/033 , G06F3/04883 , G06K9/00342 , G06K9/00389
摘要： Systems, methods and computer readable media are disclosed for a gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, that may then be tuned by an application receiving information from the gesture recognizer so that the specific parameters of the gesture—such as an arm acceleration for a throwing gesture—may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data.
摘要翻译： 公开了用于手势识别器系统架构的系统，方法和计算机可读介质。 提供识别引擎，其接收用户运动数据并将该数据提供给多个滤波器。 过滤器对应于手势，然后可以通过应用从手势识别器接收信息进行调整，使得手势的特定参数（例如用于投掷手势的手臂加速度）可以在每个应用程序级设置， 或在单个应用程序中多次。 每个滤波器可以使用它来输出相应手势发生的置信水平的应用，以及关于用户运动数据的进一步细节。
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公开(公告)号：US20120050157A1
公开(公告)日：2012-03-01
申请号：US13289731
申请日：2011-11-04
IPC分类号： G06F3/01
CPC分类号： G06F3/011 , A63F13/00 , A63F2300/1012 , A63F2300/1093 , A63F2300/6045 , G06F3/017 , G06F3/033 , G06F3/04883 , G06K9/00342 , G06K9/00389
摘要： Systems, methods and computer readable media are disclosed for a gesture recognizer system architecture. A recognizer engine is provided, which receives user motion data and provides that data to a plurality of filters. A filter corresponds to a gesture, that may then be tuned by an application receiving information from the gesture recognizer so that the specific parameters of the gesture—such as an arm acceleration for a throwing gesture—may be set on a per-application level, or multiple times within a single application. Each filter may output to an application using it a confidence level that the corresponding gesture occurred, as well as further details about the user motion data.
摘要翻译： 公开了用于手势识别器系统架构的系统，方法和计算机可读介质。 提供识别引擎，其接收用户运动数据并将该数据提供给多个滤波器。 过滤器对应于手势，然后可以通过应用从手势识别器接收信息进行调整，使得手势的特定参数（例如用于投掷手势的手臂加速度）可以在每个应用程序级设置， 或在单个应用程序中多次。 每个滤波器可以使用它来输出相应手势发生的置信水平的应用，以及关于用户运动数据的进一步细节。
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公开(公告)号：US20110175810A1
公开(公告)日：2011-07-21
申请号：US12688808
申请日：2010-01-15
申请人： Relja Markovic , Stephen G. Latta , Kevin A. Geisner , Jonathan T. Steed , Darren A. Bennett , Amos D. Vance
发明人： Relja Markovic , Stephen G. Latta , Kevin A. Geisner , Jonathan T. Steed , Darren A. Bennett , Amos D. Vance
摘要： Techniques for facilitating interaction with an application in a motion capture system allow a person to easily begin interacting without manual setup. A depth camera system tracks a person in physical space and evaluates the person's intent to engage with the application. Factors such as location, stance, movement and voice data can be evaluated. Absolute location in a field of view of the depth camera, and location relative to another person, can be evaluated. Stance can include facing a depth camera, indicating a willingness to interact. Movements can include moving toward or away from a central area in the physical space, walking through the field of view, and movements which occur while standing generally in one location, such as moving one's arms around, gesturing, or shifting weight from one foot to another. Voice data can include volume as well as words which are detected by speech recognition.
摘要翻译： 用于促进与运动捕捉系统中的应用的交互的技术允许人们容易地开始在没有手动设置的情况下进行交互。 深度摄像机系统跟踪物理空间中的人物，并评估人员与应用程序接触的意图。 可以评估位置，姿态，运动和语音数据等因素。 深度摄像机的视野中的绝对位置以及相对于另一人的位置可以进行评估。 立场可以包括面对深度相机，表示愿意交互。 运动可以包括朝着或离开物理空间中的中心区域，走过视野，以及一般站立在一个位置时发生的运动，例如将手臂移动，打手势或将重量从一只脚移动到 另一个。 语音数据可以包括音量以及通过语音识别检测到的单词。
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