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公开(公告)号：US20130135180A1
公开(公告)日：2013-05-30
申请号：US13308350
申请日：2011-11-30
申请人： Daniel McCulloch , Stephen Latta , Darren Bennett , Ryan Hastings , Jason Scott , Relja Markovic , Kevin Geisner , Jonathan Steed
发明人： Daniel McCulloch , Stephen Latta , Darren Bennett , Ryan Hastings , Jason Scott , Relja Markovic , Kevin Geisner , Jonathan Steed
IPC分类号： G09G5/00
CPC分类号： G06F3/011 , G02B27/017 , G02B2027/014 , G06F3/012 , G06Q10/10 , G06T19/006
摘要： Various embodiments are provided for a shared collaboration system and related methods for enabling an active user to interact with one or more additional users and with collaboration items. In one embodiment a head-mounted display device is operatively connected to a computing device that includes a collaboration engine program. The program receives observation information of a physical space from the head-mounted display device along with a collaboration item. The program visually augments an appearance of the physical space as seen through the head-mounted display device to include an active user collaboration item representation of the collaboration item. The program populates the active user collaboration item representation with additional user collaboration item input from an additional user.
摘要翻译： 提供了用于共享协作系统和用于使活动用户能够与一个或多个附加用户和协作项目交互的相关方法的各种实施例。 在一个实施例中，头戴式显示设备可操作地连接到包括协作引擎程序的计算设备。 该程序与协作项目一起从头戴式显示装置接收物理空间的观察信息。 该程序目视地增强了通过头戴式显示装置所看到的物理空间的外观，以包括协作项目的活动用户协作项目表示。 该程序使用从附加用户输入的附加用户协作项来填充活动的用户协作项表示。
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公开(公告)号：US09377857B2
公开(公告)日：2016-06-28
申请号：US12434545
申请日：2009-05-01
申请人： Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Darren Bennett
发明人： Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Darren Bennett
CPC分类号： G06F3/017 , G06F3/011 , G06K9/00342
摘要： 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. Providing visual feedback representing instructional gesture data to the user can teach the user how to properly gesture. The visual feedback may be provided in any number of suitable ways. For example, visual feedback may be provided via ghosted images, player avatars, or skeletal representations. The system can process prerecorded or live content for displaying visual feedback representing instructional gesture data. The feedback can portray the deltas between the user's actual position and the ideal gesture position.
摘要翻译： 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的运动的模型，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。 向用户提供表示教学手势数据的视觉反馈可以教导用户如何正确地手势。 可以以任何数量的适当方式提供视觉反馈。 例如，可以通过重影图像，玩家头像或骨骼表示来提供视觉反馈。 该系统可以处理预记录或实况内容，以显示表示教学手势数据的视觉反馈。 反馈可以描绘用户实际位置和理想手势位置之间的三角形。
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公开(公告)号：US08385596B2
公开(公告)日：2013-02-26
申请号：US12975128
申请日：2010-12-21
申请人： Stephen Latta , Darren Bennett , Kevin Geisner , Relja Markovic , Kudo Tsunoda , Greg Snook , Christopher H. Willoughby , Peter Sarrett , Daniel Lee Osborn
发明人： Stephen Latta , Darren Bennett , Kevin Geisner , Relja Markovic , Kudo Tsunoda , Greg Snook , Christopher H. Willoughby , Peter Sarrett , Daniel Lee Osborn
IPC分类号： G06K9/00
CPC分类号： A63F13/837 , A63F13/213 , A63F13/428 , A63F13/5255 , A63F2300/1093 , A63F2300/6045 , A63F2300/6607 , A63F2300/8076 , G06F3/017
摘要： A virtual skeleton includes a plurality of joints and provides a machine readable representation of a human target observed with a three-dimensional depth camera. A relative position of a hand joint of the virtual skeleton is translated as a gestured aiming vector control, and a virtual weapon is aimed in proportion to the gestured aiming vector control.
摘要翻译： 虚拟骨架包括多个关节，并提供用三维深度相机观察到的人类目标的机器可读表示。 虚拟骨架的手关节的相对位置被转换为姿态瞄准矢量控制，并且虚拟武器的目标与手势瞄准矢量控制成比例。
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公开(公告)号：US20110304774A1
公开(公告)日：2011-12-15
申请号：US12814260
申请日：2010-06-11
申请人： Stephen Latta , Christopher Vuchetich , Matthew Eric Haigh, JR. , Andrew Robert Campbell , Darren Bennett , Relja Markovic , Oscar Omar Garza Santos , Kevin Geisner , Kudo Tsunoda
发明人： Stephen Latta , Christopher Vuchetich , Matthew Eric Haigh, JR. , Andrew Robert Campbell , Darren Bennett , Relja Markovic , Oscar Omar Garza Santos , Kevin Geisner , Kudo Tsunoda
CPC分类号： G06F16/783
摘要： Embodiments are disclosed that relate to the automatic tagging of recorded content. For example, one disclosed embodiment provides a computing device comprising a processor and memory having instructions executable by the processor to receive input data comprising one or more of a depth data, video data, and directional audio data, identify a content-based input signal in the input data, and apply one or more filters to the input signal to determine whether the input signal comprises a recognized input. Further, if the input signal comprises a recognized input, then the instructions are executable to tag the input data with the contextual tag associated with the recognized input and record the contextual tag with the input data.
摘要翻译： 公开了涉及记录内容的自动标记的实施例。 例如，一个公开的实施例提供了一种包括处理器和存储器的计算设备，该处理器和存储器具有可由处理器执行的指令，以接收包括深度数据，视频数据和定向音频数据中的一个或多个的输入数据，识别基于内容的输入信号 输入数据，并向输入信号施加一个或多个滤波器，以确定输入信号是否包括识别的输入。 此外，如果输入信号包括识别的输入，则可执行指令以用与所识别的输入相关联的上下文标签来标记输入数据，并使用输入数据记录上下文标签。
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公开(公告)号：US20110035666A1
公开(公告)日：2011-02-10
申请号：US12913345
申请日：2010-10-27
申请人： Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Darren Bennett
发明人： Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Darren Bennett
CPC分类号： G06F3/017 , G06F3/011 , G06K9/00342
摘要： 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. Providing visual feedback representing instructional gesture data to the user can teach the user how to properly gesture. The visual feedback may be provided in any number of suitable ways. For example, visual feedback may be provided via ghosted images, player avatars, or skeletal representations. The system can process prerecorded or live content for displaying visual feedback representing instructional gesture data. The feedback can portray the deltas between the user's actual position and the ideal gesture position.
摘要翻译： 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的运动的模型，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。 向用户提供表示教学手势数据的视觉反馈可以教导用户如何正确地手势。 可以以任何数量的适当方式提供视觉反馈。 例如，可以通过重影图像，玩家头像或骨骼表示来提供视觉反馈。 该系统可以处理预记录或实况内容，以显示表示教学手势数据的视觉反馈。 反馈可以描绘用户实际位置和理想手势位置之间的三角形。
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公开(公告)号：US20100281432A1
公开(公告)日：2010-11-04
申请号：US12434545
申请日：2009-05-01
申请人： Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Darren Bennett
发明人： Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Darren Bennett
CPC分类号： G06F3/017 , G06F3/011 , G06K9/00342
摘要： 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. Providing visual feedback representing instructional gesture data to the user can teach the user how to properly gesture. The visual feedback may be provided in any number of suitable ways. For example, visual feedback may be provided via ghosted images, player avatars, or skeletal representations. The system can process prerecorded or live content for displaying visual feedback representing instructional gesture data. The feedback can portray the deltas between the user's actual position and the ideal gesture position.
摘要翻译： 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的运动的模型，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。 向用户提供表示教学手势数据的视觉反馈可以教导用户如何正确地手势。 可以以任何数量的适当方式提供视觉反馈。 例如，可以通过重影图像，玩家头像或骨骼表示来提供视觉反馈。 该系统可以处理预记录或实况内容，以显示表示教学手势数据的视觉反馈。 反馈可以描绘用户实际位置和理想手势位置之间的三角形。
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公开(公告)号：US08448094B2
公开(公告)日：2013-05-21
申请号：US12411276
申请日：2009-03-25
申请人： Alex Kipman , R. Stephen Polzin , Kudo Tsunoda , Darren Bennett , Stephen Latta , Mark Finocchio , Gregory G. Snook , Relja Markovic
发明人： Alex Kipman , R. Stephen Polzin , Kudo Tsunoda , Darren Bennett , Stephen Latta , Mark Finocchio , Gregory G. Snook , Relja Markovic
CPC分类号： G06F3/017 , G06K9/00201 , G06K9/00355
摘要： Systems and methods for mapping natural input devices to legacy system inputs are disclosed. One example system may include a computing device having an algorithmic preprocessing module configured to receive input data containing a natural user input and to identify the natural user input in the input data. The computing device may further include a gesture module coupled to the algorithmic preprocessing module, the gesture module being configured to associate the natural user input to a gesture in a gesture library. The computing device may also include a mapping module to map the gesture to a legacy controller input, and to send the legacy controller input to a legacy system in response to the natural user input.
摘要翻译： 公开了将自然输入设备映射到传统系统输入的系统和方法。 一个示例性系统可以包括具有算法预处理模块的计算设备，其被配置为接收包含自然用户输入的输入数据并识别输入数据中的自然用户输入。 计算设备还可以包括耦合到算法预处理模块的手势模块，所述手势模块被配置为将自然用户输入与手势库中的手势相关联。 计算设备还可以包括映射模块以将手势映射到传统控制器输入，并且响应于自然用户输入将遗留控制器输入发送到传统系统。
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公开(公告)号：US20100199229A1
公开(公告)日：2010-08-05
申请号：US12411276
申请日：2009-03-25
申请人： Alex Kipman , Stephen Polzin , Kudo Tsunoda , Darren Bennett , Stephen Latta , Mark Finocchio , Gregory G. Snook , Relja Markovic
发明人： Alex Kipman , Stephen Polzin , Kudo Tsunoda , Darren Bennett , Stephen Latta , Mark Finocchio , Gregory G. Snook , Relja Markovic
CPC分类号： G06F3/017 , G06K9/00201 , G06K9/00355
摘要： Systems and methods for mapping natural input devices to legacy system inputs are disclosed. One example system may include a computing device having an algorithmic preprocessing module configured to receive input data containing a natural user input and to identify the natural user input in the input data. The computing device may further include a gesture module coupled to the algorithmic preprocessing module, the gesture module being configured to associate the natural user input to a gesture in a gesture library. The computing device may also include a mapping module to map the gesture to a legacy controller input, and to send the legacy controller input to a legacy system in response to the natural user input.
摘要翻译： 公开了将自然输入设备映射到传统系统输入的系统和方法。 一个示例性系统可以包括具有算法预处理模块的计算设备，其被配置为接收包含自然用户输入的输入数据并识别输入数据中的自然用户输入。 计算设备还可以包括耦合到算法预处理模块的手势模块，所述手势模块被配置为将自然用户输入与手势库中的手势相关联。 计算设备还可以包括映射模块以将手势映射到传统控制器输入，并且响应于自然用户输入将遗留控制器输入发送到传统系统。
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公开(公告)号：US09292085B2
公开(公告)日：2016-03-22
申请号：US13539043
申请日：2012-06-29
申请人： Darren Bennett , Brian J. Mount , Michael J. Scavezze , Daniel J. McCulloch , Anthony J. Ambrus , Jonathan T. Steed , Arthur C. Tomlin , Kevin A. Geisner
发明人： Darren Bennett , Brian J. Mount , Michael J. Scavezze , Daniel J. McCulloch , Anthony J. Ambrus , Jonathan T. Steed , Arthur C. Tomlin , Kevin A. Geisner
CPC分类号： G06F3/012 , G06F3/011 , G06F3/013 , G06F3/017 , G06F3/0304 , G06F3/04815 , G06T19/006
摘要： Technology is described for automatically determining placement of one or more interaction zones in an augmented reality environment in which one or more virtual features are added to a real environment. An interaction zone includes at least one virtual feature and is associated with a space within the augmented reality environment with boundaries of the space determined based on the one or more real environment features. A plurality of activation criteria may be available for an interaction zone and at least one may be selected based on at least one real environment feature. The technology also describes controlling activation of an interaction zone within the augmented reality environment. In some examples, at least some behavior of a virtual object is controlled by emergent behavior criteria which defines an action independently from a type of object in the real world environment.
摘要翻译： 描述了用于自动确定在增加的现实环境中的一个或多个交互区域的放置的技术，其中将一个或多个虚拟特征添加到真实环境中。 交互区域包括至少一个虚拟特征，并且与增强现实环境中的空间相关联，并且具有基于一个或多个真实环境特征确定的空间的边界。 多个激活标准可用于交互区域，并且可以基于至少一个真实环境特征来选择至少一个。 该技术还描述了在增强现实环境中控制相互作用区域的激活。 在一些示例中，虚拟对象的至少一些行为由紧急行为标准来控制，该标准定义了独立于现实环境中的对象类型的动作。
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公开(公告)号：US09041622B2
公开(公告)日：2015-05-26
申请号：US13494989
申请日：2012-06-12
申请人： Daniel J. McCulloch , Arnulfo Zepeda Navratil , Jonathan T. Steed , Ryan L. Hastings , Jason Scott , Brian J. Mount , Holly A. Hirzel , Darren Bennett , Michael J. Scavezze
发明人： Daniel J. McCulloch , Arnulfo Zepeda Navratil , Jonathan T. Steed , Ryan L. Hastings , Jason Scott , Brian J. Mount , Holly A. Hirzel , Darren Bennett , Michael J. Scavezze
CPC分类号： G02B27/01 , G02B27/017 , G02B2027/014 , G02B2027/0178 , G02B2027/0187 , G06F3/012 , G06F3/013 , G06F3/016 , G06F3/017
摘要： Technology is described for controlling a virtual object displayed by a near-eye, augmented reality display with a real controller device. User input data is received from a real controller device requesting an action to be performed by the virtual object. A user perspective of the virtual object being displayed by the near-eye, augmented reality display is determined. The user input data requesting the action to be performed by the virtual object is applied based on the user perspective, and the action is displayed from the user perspective. The virtual object to be controlled by the real controller device may be identified based on user input data which may be from a natural user interface (NUI). A user selected force feedback object may also be identified, and the identification may also be based on NUI input data.
摘要翻译： 描述了用于通过实际控制器设备控制由近眼，增强现实显示显示的虚拟对象的技术。 从实际控制器设备接收用户输入数据，请求由虚拟对象执行的动作。 确定由近眼增强现实显示显示的虚拟对象的用户透视图。 基于用户的观点，应用用户输入要求由虚拟对象执行的动作的数据，从用户的角度显示动作。 可以基于可以来自自然用户界面（NUI）的用户输入数据来识别要由真实控制器设备控制的虚拟对象。 还可以识别用户选择的力反馈对象，并且该标识也可以基于NUI输入数据。
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