公开(公告)号：US07917455B1

公开(公告)日：2011-03-29

申请号：US12622907

申请日：2009-11-20

Applicant: Daniel Dobson ,  John Funge ,  Charles Musick, Jr. ,  Stuart Reynolds ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen

Inventor： Daniel Dobson ,  John Funge ,  Charles Musick, Jr. ,  Stuart Reynolds ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen

IPC: G06F15/18

CPC classification number: G06N99/005

Abstract: Methods and systems capable of determining which subset of a set of logical expressions are true with relatively few evaluations of the primitives that together with any standard logical connectives, make up the logical expressions. A plurality of directed acyclic graphs, each graph including at least one root node, at least one leaf node, and at least one non-leaf node associated with a leaf node. Each node is associated with a, possibly empty, subset of presumed to be true logical expressions. Each non-leaf node is associated with one of the primitives mentioned in any of the logical expressions. Edges are defined between two of the nodes, each edge being associated with a possible value, or range of possible values, of the primitive associated with the node at the tail of the edge. Paths are defined through each of the directed acyclic graphs from a root node to a leaf node by recursively following each edge corresponding to the current value of the primitive at a selected non-leaf node. Lastly, subsets of logical expressions associated with the nodes on the defined paths are collated to yield a subset of logical expressions that are true.

Abstract translation: 方法和系统能够确定一组逻辑表达式的哪个子集是真实的，而对于与任何标准逻辑连接符一起构成逻辑表达式的基元的相对较少的评估。 多个有向无环图，每个图包括至少一个根节点，至少一个叶节点和与叶节点相关联的至少一个非叶节点。 每个节点与假设为真逻辑表达式的可能为空的子集相关联。 每个非叶节点与任何逻辑表达式中提到的原语之一相关联。 在两个节点之间定义边缘，每个边缘与与边缘尾部的节点相关联的基元的可能值或可能值的范围相关联。 通过在选定的非叶节点处递归地跟随对应于原语的当前值的每个边缘，通过从根节点到叶节点的每个有向无环图来定义路径。 最后，与定义的路径上的节点相关联的逻辑表达式的子集进行整理，以产生真实的逻辑表达式的子集。

公开(公告)号：US07702608B1

公开(公告)日：2010-04-20

申请号：US11486997

申请日：2006-07-14

Applicant: Curt Bererton ,  Daniel Dobson ,  John Funge ,  Charles Musick ,  Stuart Reynolds ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen

Inventor： Curt Bererton ,  Daniel Dobson ,  John Funge ,  Charles Musick ,  Stuart Reynolds ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen

IPC: G06F17/00 ,  G06N5/02 ,  A63F9/24 ,  A63F13/00 ,  G06F19/00

CPC classification number: A63F13/428 ,  A63F13/06 ,  A63F13/211 ,  A63F2300/105 ,  A63F2300/6009 ,  A63F2300/6027 ,  A63F2300/6045 ,  G06K9/00335

Abstract: Generating motion recognizers from example motions, without substantial programming, without limitation to any fixed set of well-known gestures, and without limitation to motions that occur substantially in a plane, or are substantially predefined in scope. From example motions for each class of motion to be recognized, a system automatically generates motion recognizers using machine learning techniques. Those motion recognizers can be incorporated into an end-user application, with the effect that when a user of the application supplies a motion, those motion recognizers will recognize the motion as an example of one of the known classes of motion. Motion recognizers can be incorporated into an end-user application; tuned to improve recognition rates for subsequent motions to allow end-users to add new example motions.

Abstract translation: 从示例运动中产生运动识别器，而不需要实质的编程，而不限于任何固定的众所周知的手势，并且不限于基本上在平面中出现或基本上在范围内预定的运动。 从每个类别的运动的示例运动被识别，系统使用机器学习技术自动生成运动识别器。 这些运动识别器可被并入终端用户应用程序中，其结果是当应用程序的用户提供动作时，这些运动识别器将识别运动作为已知运动类别之一的示例。 运动识别器可以并入最终用户应用程序; 调整以提高后续动议的识别率，以允许最终用户添加新的示例动议。

公开(公告)号：US07636701B2

公开(公告)日：2009-12-22

申请号：US11929170

申请日：2007-10-30

Applicant: John Funge ,  Ron Musick ,  Daniel Dobson ,  Nigel Duffy ,  Michael McNally ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen ,  Brian Cabral

Inventor： John Funge ,  Ron Musick ,  Daniel Dobson ,  Nigel Duffy ,  Michael McNally ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen ,  Brian Cabral

IPC: G06N5/00

CPC classification number: A63F13/67 ,  A63F13/10 ,  A63F2300/60 ,  A63F2300/6027 ,  G06N99/005

Abstract: Providing dynamic learning for software agents in a simulation is described. The software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to a player character. A game designer provides program code, from which compile-time steps determine a set of raw features. The code may identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, may be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.

Abstract translation: 描述了在仿真中为软件代理提供动态学习。 具有学习者的软件代理能够从示例中学习。 当非玩家角色询问学习者时，它可以提供类似于玩家角色的下一个动作。 游戏设计师提供程序代码，编译时步骤确定一组原始特征。 代码可以识别功能（如计算距离）。 在编译时步骤中，根据脚本语言确定这些原始特征，因此设计人员可以指定哪些代码应该被引用。 响应于原始特征的一组派生特征可能相对简单，更复杂或响应于学习者而确定。 这些原始和派生特征的集合形成了学习者的上下文。 学习者可以对（更基础的）学习者，状态机的结果，计算的导出特征或者原始特征进行响应。 学习者包括机器学习技术。

公开(公告)号：US08051024B1

公开(公告)日：2011-11-01

申请号：US12712192

申请日：2010-02-25

Applicant: Curt Bererton ,  Daniel Dobson ,  John Funge ,  Charles Musick, Jr. ,  Stuart Reynolds ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen

Inventor： Curt Bererton ,  Daniel Dobson ,  John Funge ,  Charles Musick, Jr. ,  Stuart Reynolds ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen

IPC: G06F17/00 ,  G06F19/00 ,  G06N5/02 ,  A63F9/24 ,  A63F13/00

CPC classification number: A63F13/428 ,  A63F13/06 ,  A63F13/211 ,  A63F2300/105 ,  A63F2300/6009 ,  A63F2300/6027 ,  A63F2300/6045 ,  G06K9/00335

Abstract: Techniques for tuning motion recognizers in motion detections are described. The motion recognizers are created or generated in advance by trained users. The motion recognizers are then loaded into a processing unit that receives motion signals from a handheld motion sensitive device being controlled by an end user. While motion recognition of the motion signals is being made, some or all of the motion recognizers are tuned by the motion signals to make the motion recognizers more adaptive to the user.

Abstract translation: 描述用于调整运动检测中的运动识别器的技术。 运动识别器由受过训练的用户预先创建或生成。 运动识别器然后被加载到处理单元中，该处理单元从由终端用户控制的手持式运动敏感设备接收运动信号。 当运动信号正在进行运动识别时，通过运动信号对运动识别器中的一些或全部进行调谐，以使运动识别器对用户更加适应。

公开(公告)号：US07899772B1

公开(公告)日：2011-03-01

申请号：US12715397

申请日：2010-03-02

Applicant: Curt Bererton ,  Daniel Dobson ,  John Funge ,  Charles Musick, Jr. ,  Stuart Reynolds ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen

Inventor： Curt Bererton ,  Daniel Dobson ,  John Funge ,  Charles Musick, Jr. ,  Stuart Reynolds ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen

IPC: G06F17/00 ,  G06F19/00 ,  G06N5/02 ,  A63F9/24 ,  A63F13/00

CPC classification number: A63F13/428 ,  A63F13/06 ,  A63F13/211 ,  A63F2300/105 ,  A63F2300/6009 ,  A63F2300/6027 ,  A63F2300/6045 ,  G06K9/00335

Abstract: Techniques for using motion recognizers are described. The motion recognizers are created or generated in advance by trained users. The motion recognizers are then loaded into a processing unit that receives motion signals from one or more motion sensitive devices being manipulated by one or more end users to control one or more objects in a virtual environment. Depending on implementation, the virtual environment may represent a remote scene or a video game, where objects in the virtual environment can be controlled by the users to perform desired actions or moves.

Abstract translation: 描述了使用运动识别器的技术。 运动识别器由受过训练的用户预先创建或生成。 运动识别器然后被加载到处理单元中，该处理单元从一个或多个终端用户操纵的一个或多个运动敏感设备接收运动信号，以控制虚拟环境中的一个或多个对象。 根据实现，虚拟环境可以表示远程场景或视频游戏，虚拟环境中的对象可由用户控制以执行期望的动作或移动。

公开(公告)号：US20090288064A1

公开(公告)日：2009-11-19

申请号：US12498499

申请日：2009-07-07

Applicant: Wei YEN ,  Ian Wright ,  Dana Wilkinson ,  Xiaoyuan Tu ,  Stuart Reynolds ,  William Robert Powers, III ,  Charles Musick, JR. ,  John Funge ,  Daniel Dobson

Inventor： Wei YEN ,  Ian Wright ,  Dana Wilkinson ,  Xiaoyuan Tu ,  Stuart Reynolds ,  William Robert Powers, III ,  Charles Musick, JR. ,  John Funge ,  Daniel Dobson

IPC: G06F9/44 ,  G06F15/18

CPC classification number: G06N5/02 ,  G06N99/005 ,  Y10S706/906 ,  Y10S707/99943

Abstract: Techniques for non-disruptive embedding of specialized elements are disclosed. In one aspect of the techniques, ontology is defined to specify an application domain. A program interface (API) is also provided for creating raw features by a developer. Thus a module is provided for at least one form of statistical analysis within the ontology. The module is configured automatically in a computing device with the API in response to a system consistent with the ontology, wherein the system has no substantial requirement for specialized knowledge of that form of statistical analysis, and the module has no substantial requirement for specialized knowledge of particular functions provided by the system.

Abstract translation: 公开了用于非破坏性嵌入专用元件的技术。 在技​​术的一个方面，本体被定义为指定应用领域。 还提供了程序界面（API），用于由开发人员创建原始功能。 因此，为本体提供至少一种形式的统计分析模块。 该模块在具有API的计算设备中被自动配置以响应于与本体一致的系统，其中系统对该形式的统计分析的专业知识没有实质性要求，并且该模块对于专门知识的专业知识没有实质性要求 系统提供的特定功能。

公开(公告)号：US20080097948A1

公开(公告)日：2008-04-24

申请号：US11929170

申请日：2007-10-30

Applicant: John Funge ,  Ron Musick ,  Daniel Dobson ,  Nigel Duffy ,  Michael McNally ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen ,  Brian Cabral

Inventor： John Funge ,  Ron Musick ,  Daniel Dobson ,  Nigel Duffy ,  Michael McNally ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen ,  Brian Cabral

IPC: G06N5/00

CPC classification number: A63F13/67 ,  A63F13/10 ,  A63F2300/60 ,  A63F2300/6027 ,  G06N99/005

Abstract: Providing dynamic learning for software agents in a simulation. Software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to the player character. The game designer provides program code, from which compile-time steps determine a set of raw features. The code might identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, might be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.

Abstract translation: 在模拟中为软件代理提供动态学习。 具有学习者的软件代理能够从示例中学习。 当非玩家角色查询学习者时，它可以提供类似于玩家角色的下一个动作。 游戏设计师提供程序代码，编译时步骤确定一组原始特征。 代码可能会识别一个函数（如计算距离）。 在编译时步骤中，根据脚本语言确定这些原始特征，因此设计人员可以指定哪些代码应该被引用。 响应于原始特征的一组派生特征可能相对简单，更复杂或响应于学习者而确定。 这些原始和派生特征的集合形成了学习者的上下文。 学习者可以对（更基础的）学习者，状态机的结果，计算的导出特征或者原始特征进行响应。 学习者包括机器学习技术。

公开(公告)号：US07296007B1

公开(公告)日：2007-11-13

申请号：US10885495

申请日：2004-07-06

Applicant: John Funge ,  Ron Musick ,  Daniel Dobson ,  Nigel Duffy ,  Michael McNally ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen ,  Brian Cabral

Inventor： John Funge ,  Ron Musick ,  Daniel Dobson ,  Nigel Duffy ,  Michael McNally ,  Xiaoyuan Tu ,  Ian Wright ,  Wei Yen ,  Brian Cabral

IPC: G06F17/00 ,  G06N5/00

CPC classification number: A63F13/67 ,  A63F13/10 ,  A63F2300/60 ,  A63F2300/6027 ,  G06N99/005

Abstract: Providing dynamic learning for software agents in a simulation. Software agents with learners are capable of learning from examples. When a non-player character queries the learner, it can provide a next action similar to the player character. The game designer provides program code, from which compile-time steps determine a set of raw features. The code might identify a function (like computing distances). At compile-time steps, determining these raw features in response to a scripting language, so the designer can specify which code should be referenced. A set of derived features, responsive to the raw features, might be relatively simple, more complex, or determined in response to a learner. The set of such raw and derived features form a context for a learner. Learners might be responsive to (more basic) learners, to results of state machines, to calculated derived features, or to raw features. The learner includes a machine learning technique.

Abstract translation: 在模拟中为软件代理提供动态学习。 具有学习者的软件代理能够从示例中学习。 当非玩家角色查询学习者时，它可以提供类似于玩家角色的下一个动作。 游戏设计师提供程序代码，编译时步骤确定一组原始特征。 代码可能会识别一个函数（如计算距离）。 在编译时步骤中，根据脚本语言确定这些原始特征，因此设计人员可以指定哪些代码应该被引用。 响应于原始特征的一组派生特征可能相对简单，更复杂或响应于学习者而确定。 这些原始和派生特征的集合形成了学习者的上下文。 学习者可以对（更基础的）学习者，状态机的结果，计算的导出特征或者原始特征进行响应。 学习者包括机器学习技术。

公开(公告)号：US09405372B2

公开(公告)日：2016-08-02

申请号：US12020431

申请日：2008-01-25

Applicant: Wei Yen ,  Ian Wright ,  Xiaoyuan Tu ,  Stuart Reynolds ,  William Robert Powers, III ,  Charles Musick, Jr. ,  John Funge ,  Daniel Dobson ,  Curt Bererton

Inventor： Wei Yen ,  Ian Wright ,  Xiaoyuan Tu ,  Stuart Reynolds ,  William Robert Powers, III ,  Charles Musick, Jr. ,  John Funge ,  Daniel Dobson ,  Curt Bererton

IPC: G06F3/00 ,  G06F3/0346 ,  A63F13/00 ,  A63F13/06 ,  A63F13/211 ,  A63F13/428 ,  G06F3/01 ,  A63F13/20 ,  A63F13/40

CPC classification number: G06F3/017 ,  A63F13/06 ,  A63F13/10 ,  A63F13/211 ,  A63F13/212 ,  A63F13/428 ,  A63F2300/1043 ,  A63F2300/105 ,  A63F2300/6045 ,  G06F3/0346

Abstract: A movable game controller for controlling aspects of a computer controlled game display with apparatus for determining the linear and angular motion of that movable controller. The apparatus includes a plurality of self-contained inertial sensors for sensing the tri-axial linear and tri-axial angular motion of the moving controller. Each sensor is mounted at a fixed linear position and orientation with respect to the others. The linear and angular motion of the controller is computed from the correlated motion sensor readings of each of the plurality of self-contained inertial sensors.

公开(公告)号：US09184980B1

公开(公告)日：2015-11-10

申请号：US13558157

申请日：2012-07-25

Applicant: Robert Matthew Aman ,  Daniel Dobson

Inventor： Robert Matthew Aman ,  Daniel Dobson

IPC: G06F13/00 ,  H04L29/08

CPC classification number: H04L67/02 ,  G06F17/30958 ,  H04L29/08072

Abstract: A method for data discovery and retrieval is provided. A REST API client library provides a discovery document for a data graph. The discovery document is structured data containing: (1) a list of data graph endpoints and (2) the format of the information each endpoint returns. The client library uses the REST API to query the server for a data object, wrapping the data object in a new data object. The new data object contains: (1) fixed data from the server-returned data object and (2) a function for each graph node that is directly connected to the requested data object. When these functions execute, the next data objects in the data graph can be retrieved, allowing for quick graph navigation. Given a discovery document and the ability to generate closures based on the document, a query object can be constructed that traverses several layers of the API at once.

Abstract translation: 提供了一种用于数据发现和检索的方法。 REST API客户端库为数据图提供了一个发现文档。 发现文档是包含以下内容的结构化数据：（1）数据图表端点列表和（2）每个端点返回的信息的格式。 客户端库使用REST API来查询服务器的数据对象，将数据对象包装在一个新的数据对象中。 新的数据对象包含：（1）来自服务器返回的数据对象的固定数据;（2）直接连接到请求的数据对象的每个图形节点的函数。 当这些功能执行时，可以检索数据图中的下一个数据对象，以便快速图形导航。 给定一个发现文档和基于文档生成闭包的能力，可以构建一个遍历该API几层的查询对象。