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公开(公告)号:US20120155705A1
公开(公告)日:2012-06-21
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
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: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:US09821224B2
公开(公告)日:2017-11-21
申请号:US12975011
申请日:2010-12-21
申请人: Stephen Latta , Darren Bennett , Kevin Geisner , Relja Markovic , Kudo Tsunoda , Rhett Mathis , Matthew Monson , David Gierok , William Paul Giese , Darrin Brown , Cam McRae , David Seymour , William Axel Olsen , Matthew Searcy
发明人: Stephen Latta , Darren Bennett , Kevin Geisner , Relja Markovic , Kudo Tsunoda , Rhett Mathis , Matthew Monson , David Gierok , William Paul Giese , Darrin Brown , Cam McRae , David Seymour , William Axel Olsen , Matthew Searcy
IPC分类号: A63F9/24 , A63F13/428 , A63F13/213 , A63F13/57 , A63F13/803 , G09B9/04 , G06F3/01 , A63F13/212
CPC分类号: A63F13/428 , A63F13/212 , A63F13/213 , A63F13/57 , A63F13/803 , A63F2300/1087 , A63F2300/1093 , A63F2300/6045 , A63F2300/6607 , A63F2300/8017 , G06F3/017 , G09B9/04
摘要: Depth-image analysis is performed with a device that analyzes a human target within an observed scene by capturing depth-images that include depth information from the observed scene. The human target is modeled with a virtual skeleton including a plurality of joints. The virtual skeleton is used as an input for controlling a driving simulation.
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公开(公告)号:US20120157198A1
公开(公告)日:2012-06-21
申请号:US12975011
申请日:2010-12-21
申请人: Stephen Latta , Darren Bennett , Kevin Geisner , Relja Markovic , Kudo Tsunoda , Rhett Mathis , Matthew Monson , David Gierok , William Paul Giese , Darrin Brown , Cam McRae , David Seymour , William Axel Olsen , Matthew Searcy
发明人: Stephen Latta , Darren Bennett , Kevin Geisner , Relja Markovic , Kudo Tsunoda , Rhett Mathis , Matthew Monson , David Gierok , William Paul Giese , Darrin Brown , Cam McRae , David Seymour , William Axel Olsen , Matthew Searcy
IPC分类号: A63F13/00
CPC分类号: A63F13/428 , A63F13/212 , A63F13/213 , A63F13/57 , A63F13/803 , A63F2300/1087 , A63F2300/1093 , A63F2300/6045 , A63F2300/6607 , A63F2300/8017 , G06F3/017 , G09B9/04
摘要: Depth-image analysis is performed with a device that analyzes a human target within an observed scene by capturing depth-images that include depth information from the observed scene. The human target is modeled with a virtual skeleton including a plurality of joints. The virtual skeleton is used as an input for controlling a driving simulation.
摘要翻译: 深度图像分析是通过捕获观察场景中包含深度信息的深度图像来分析观察场景内的人类目标的装置进行的。 人类目标是用包括多个关节的虚拟骨架建模的。 虚拟骨架用作控制驾驶模拟的输入。
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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:US09400559B2
公开(公告)日:2016-07-26
申请号:US12474781
申请日:2009-05-29
申请人: Stephen Latta , Kevin Geisner , John Clavin , Kudo Tsunoda , Kathryn Stone Perez , Alex Kipman , Relja Markovic , Gregory N. Snook
发明人: Stephen Latta , Kevin Geisner , John Clavin , Kudo Tsunoda , Kathryn Stone Perez , Alex Kipman , Relja Markovic , Gregory N. Snook
IPC分类号: G06F3/048 , G06F3/01 , G06F3/0488
CPC分类号: G06F3/017 , G06F3/038 , G06F3/0488 , G06F3/04883
摘要: 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.
摘要翻译: 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。
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公开(公告)号:US20100306714A1
公开(公告)日:2010-12-02
申请号:US12474781
申请日:2009-05-29
申请人: Stephen Latta , Kevin Geisner , John Clavin , Kudo Tsunoda , Kathryn Stone Perez , Alex Kipman , Relja Markovic , Gregory N. Snook
发明人: Stephen Latta , Kevin Geisner , John Clavin , Kudo Tsunoda , Kathryn Stone Perez , Alex Kipman , Relja Markovic , Gregory N. Snook
IPC分类号: G06F3/01
CPC分类号: G06F3/017 , G06F3/038 , G06F3/0488 , G06F3/04883
摘要: 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.
摘要翻译: 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。
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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:US20100277489A1
公开(公告)日:2010-11-04
申请号:US12434532
申请日:2009-05-01
申请人: Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Kudo Tsunoda , Darren Alexander Bennett
发明人: Kevin Geisner , Relja Markovic , Stephen Gilchrist Latta , Gregory Nelson Snook , Kudo Tsunoda , Darren Alexander Bennett
IPC分类号: G09G5/00
CPC分类号: A63F13/213 , A63F13/42 , A63F2300/1093 , A63F2300/6045 , A63F2300/64 , A63F2300/69 , G06F3/011 , G06F3/017 , G06T13/40
摘要: It may be desirable to apply corrective data to aspects of captured image or the user-performed gesture for display of a visual representation that corresponds to the corrective data. The captured motion may be any motion in the physical space that is captured by the capture device, such as a camera. Aspects of a skeletal or mesh model of a person, that is generated based on the image data captured by the capture device, may be modified prior to animation. The modification may be made to the model generated from image data that represents a target or a target's motion, including user gestures, in the physical space. For example, certain joints of a skeletal model may be readjusted or realigned. A model of a target may be modified by applying differential correction, magnetism principles, binary snapping, confining virtual movement to defined spaces, or the like.
摘要翻译: 可能期望将校正数据应用于捕获图像的方面或用户执行的手势以显示对应于校正数据的视觉表示。 捕获的运动可以是由捕获装置捕获的物理空间中的任何运动,例如相机。 可以在动画之前修改基于捕获设备捕获的图像数据生成的人的骨骼或网格模型的方面。 可以对在物理空间中表示目标或目标的运动(包括用户手势)的图像数据生成的模型进行修改。 例如,可以重新调整或重新对准骨骼模型的某些关节。 可以通过应用差分校正,磁性原理,二进制捕捉,将虚拟运动限定到定义的空间等来修改目标的模型。
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