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1. 发明申请

US20160066857A1 Device-Based Activity Classification Using Predictive Feature Analysis 审中-公开
标题翻译：基于设备的活动分类使用预测特征分析
公开(公告)号：US20160066857A1
公开(公告)日：2016-03-10
申请号：US14121938
申请日：2014-11-04
申请人： Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
发明人： Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
IPC分类号： A61B5/00 , A61B5/0205
CPC分类号： A61B5/7264 , A61B5/002 , A61B5/0205 , A61B5/02055 , A61B5/02438 , A61B5/0245 , A61B5/0531 , A61B5/0533 , A61B5/11 , A61B5/1123 , A61B5/4812 , A61B5/681 , A61B5/7275 , A61B5/742 , A61B5/7445 , A61B5/7475 , A61B2560/0468 , A61B2560/0475 , A61B2562/0209 , A61B2562/0215 , A61B2562/12 , G04G17/04 , G04G17/06 , G04G17/08 , G04G21/08 , G06F1/163 , G06F1/1643 , G06F1/1656 , G06F1/1684 , G06F3/011 , G09G2380/02 , G09G2380/08
摘要： Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor configured to measure a heart rate coupled to a device, the sensor being configured to sense the signal over a time period, evaluating the signal to generate data associated with the heart rate, the data being further evaluated to select a classifier, invoking the classifier, the classifier being configured to evaluate the data to identify a predictive feature, the predictive feature invoking an application configured to determine a state using a feature interpreter, the application also being configured to evaluate other data from another signal, the signal being configured to detect a respiration rate, and processing the data and the other data using the application and the feature interpreter to generate information associated with sleep, the information being configured to display on an interface associated with the device.
摘要翻译：描述了使用预测特征分析的基于设备的活动分类，包括从配置成测量耦合到设备的心率的传感器接收信号，所述传感器被配置为在一段时间内感测信号，评估信号以产生相关联的数据利用心率，进一步评估数据以选择分类器，调用分类器，分类器被配置为评估数据以识别预测特征，预测特征调用被配置为使用特征解释器确定状态的应用，应用还被配置为评估来自另一信号的其他数据，所述信号被配置为检测呼吸速率，以及使用所述应用和所述特征解释器处理所述数据和所述其他数据以生成与睡眠相关联的信息，所述信息被配置为显示在与设备相关联的接口上。

2. 发明申请

US20160070339A1 Divice-based activity classification using predictive feature analysis 审中-公开
标题翻译：基于分类的活动分类使用预测特征分析
公开(公告)号：US20160070339A1
公开(公告)日：2016-03-10
申请号：US14121942
申请日：2014-11-04
申请人： Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
发明人： Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
IPC分类号： G06F3/01 , G06F3/041
CPC分类号： G06F3/011 , A61B5/0002 , A61B5/01 , A61B5/024 , A61B5/0531 , A61B5/0816 , A61B5/1118 , A61B5/681 , G06F1/163 , G06F1/1643 , G06F1/1656 , G06F1/1684
摘要： Device-based activity classification using predictive feature analysis is described, including evaluating an indicator associated with a predictive feature, identifying an application, using the name, to be performed, and invoking the application, the application being configured to interpret the indicator to determine an operation to perform at one or more levels of a protocol stack using data generated from evaluating a signal detected by a sensor, the sensor being coupled to a wearable device, and the application being configured to perform the operation using other data generated from evaluating another signal detected by another sensor, the another sensor being substantially different than the sensor.
摘要翻译：描述使用预测特征分析的基于设备的活动分类，包括评估与预测特征相关联的指示符，识别应用程序，使用要执行的名称和调用应用程序，该应用被配置为解释指示符以确定使用从评估由传感器检测到的信号产生的数据在协议栈的一个或多个级别执行操作，所述传感器耦合到可穿戴设备，并且所述应用被配置为使用从评估另一信号产生的其他数据来执行操作由另一传感器检测到，另一个传感器与传感器基本不同。

3. 发明申请

US20160066859A1 Device-based activity classification using predictive feature analysis 审中-公开
标题翻译：基于设备的活动分类使用预测特征分析
公开(公告)号：US20160066859A1
公开(公告)日：2016-03-10
申请号：US14121941
申请日：2014-11-05
申请人： Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
发明人： Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
IPC分类号： A61B5/00 , A61B5/0205
CPC分类号： A61B5/7264 , A61B5/02055 , A61B5/021 , A61B5/02438 , A61B5/0404 , A61B5/0531 , A61B5/0533 , A61B5/0816 , A61B5/1123 , A61B5/681 , A61B2560/0475 , A61B2562/0214 , A61B2562/0219
摘要： Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor coupled to a device, the sensor being configured to detect the signal over a time period and to detect motion, evaluating the signal to generate data, the data being used to indicate motion, the data being further evaluated to select a classifier based on whether the motion is detected, activating another sensor coupled to the device, the another sensor being configured to detect another signal that is substantially different than the signal, the another signal being used to generate other data associated with whether the motion is detected, invoking the classifier, the classifier being configured to evaluate a predictive feature to identify a type associated with whether the motion is detected, the predictive feature invoking an application configured to determine the type and a state using a feature interpreter, and processing the data using the application and the feature interpreter to generate information associated with a biological state associated with whether the motion is detected, the information being configured to display on an interface associated with the device.
摘要翻译：描述使用预测特征分析的基于设备的活动分类，包括从耦合到设备的传感器接收信号，所述传感器被配置为在一段时间内检测信号并检测运动，评估信号以产生数据，数据用于指示运动，所述数据被进一步评估以基于是否检测到运动来选择分类器，激活耦合到所述设备的另一传感器，所述另一传感器被配置为检测与所述信号基本不同的另一信号，所述另一传感器信号被用于产生与是否检测到运动相关联的其他数据，调用分类器，分类器被配置为评估预测特征以识别与是否检测到运动相关联的类型，预测特征调用被配置为确定类型和使用特征解释器的状态，并使用应用程序处理数据以及所述特征解释器，用于生成与是否检测到所述运动相关联的生物状态相关联的信息，所述信息被配置为在与所述设备相关联的接口上显示。

4. 发明申请

US20160066858A1 Device-based activity classification using predictive feature analysis 审中-公开
标题翻译：基于设备的活动分类使用预测特征分析
公开(公告)号：US20160066858A1
公开(公告)日：2016-03-10
申请号：US14121940
申请日：2014-11-04
申请人： Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
发明人： Stuart Crawford , Piyush Savalia , Prasad Panchalan , Sylvia Hou-Yan Cheng , Chris Singleton , Sheila Nabanja , Ilyas Mohammad , Sumit Sharma
IPC分类号： A61B5/00 , A61B5/0205
CPC分类号： A61B5/7264 , A61B5/002 , A61B5/0205 , A61B5/02055 , A61B5/02438 , A61B5/0245 , A61B5/0531 , A61B5/0533 , A61B5/11 , A61B5/1123 , A61B5/4812 , A61B5/681 , A61B5/7275 , A61B5/742 , A61B5/7445 , A61B5/7475 , A61B2560/0468 , A61B2560/0475 , A61B2562/0209 , A61B2562/0215 , A61B2562/12 , G04G17/04 , G04G17/06 , G04G17/08 , G04G21/08 , G06F1/163 , G06F1/1643 , G06F1/1656 , G06F1/1684 , G06F3/011 , G09G2380/02 , G09G2380/08
摘要： Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor coupled to a device, the sensor being configured to sense the signal over a time period, evaluating the signal to generate data, the data being further evaluated to select a classifier, invoking the classifier, the classifier being configured to evaluate a predictive feature, the predictive feature invoking an application configured to determine a state using a feature interpreter, and processing the data using the application and the feature interpreter to generate information associated with a biological state, the information being configured to display on an interface associated with the device.
摘要翻译：描述使用预测特征分析的基于设备的活动分类，包括从耦合到设备的传感器接收信号，该传感器被配置为在一段时间内感测信号，评估该信号以生成数据，该数据被进一步评估为选择分类器，调用分类器，分类器被配置为评估预测特征，预测特征调用被配置为使用特征解释器确定状态的应用，以及使用应用和特征解释器处理数据以生成与生物状态，所述信息被配置为在与所述设备相关联的接口上显示。

5. 发明申请

US20070291936A1 Consumer-driven secure sockets layer modulator 有权
标题翻译：消费者驱动的安全套接字层调制器
公开(公告)号：US20070291936A1
公开(公告)日：2007-12-20
申请号：US11705663
申请日：2007-02-12
申请人： Joseph Milana , Stuart Crawford , Ronald Martin
发明人： Joseph Milana , Stuart Crawford , Ronald Martin
IPC分类号： H04L9/30 , H04L9/00
CPC分类号： H04L63/0442 , G06Q20/38 , G06Q20/382 , G07F7/084 , H04L63/166
摘要： A software system and method for executing secure commercial transactions online is disclosed. The system intercepts and verifies, against consumer provided inputs, Secure Socket Layer (SSL) communications from normal Web browser usage. The system can include a software module loaded onto the consumer's client computer, and which uses independently-derived look-ups to associate a web domain name with its SSL public key to verify that a given web session is appropriately encrypted.
摘要翻译：公开了一种用于在线执行安全商业交易的软件系统和方法。系统根据消费者提供的输入，从正常的Web浏览器使用中截取并验证安全套接层（SSL）通信。该系统可以包括加载到消费者的客户端计算机上的软件模块，并且使用独立导出的查询来将web域名与其SSL公钥相关联，以验证给定的web会话是否被适当地加密。

6. 发明申请

US20150169972A1 CHARACTER DATA GENERATION BASED ON TRANSFORMED IMAGED DATA TO IDENTIFY NUTRITION-RELATED DATA OR OTHER TYPES OF DATA 审中-公开
标题翻译：基于变换成像数据识别营养相关数据或其他数据类型的字符数据生成
公开(公告)号：US20150169972A1
公开(公告)日：2015-06-18
申请号：US14105146
申请日：2013-12-12
申请人： Nhat Vu , Stuart Crawford , Janeth Moran-Cervantes
发明人： Nhat Vu , Stuart Crawford , Janeth Moran-Cervantes
IPC分类号： G06K9/18 , G06K9/62
CPC分类号： G06K9/342 , G06K2209/01 , G06K2209/17
摘要： Embodiments relate generally to wearable/mobile computing devices and computer software configured to perform image processing, including transformation of images of characters into data representing characters. More specifically, disclosed are wearable systems, platforms and methods directed to, for example, health and wellness, for identifying character data, such as text, from captured image data, including but not limited to the identification of nutrition-related information captured as an image. In various embodiments, a method can include receiving an image that includes characters, and identifying a sub-image of a group of characters. Adaptations of the sub-image can be generated to form an adapted sub-image. The method includes transforming data that can be classified by subsets of character data. A converted group of characters can be formed based on at least the classified subsets. The method can also include coupling a plurality of the converted group of characters.
摘要翻译：实施例通常涉及被配置为执行图像处理的可穿戴/移动计算设备和计算机软件，包括将字符的图像转换成表示字符的数据。更具体地，所公开的是针对例如健康和健康的可穿戴系统，平台和方法，用于从捕获的图像数据识别诸如文本的字符数据，包括但不限于识别捕获的营养相关信息图片。在各种实施例中，一种方法可以包括接收包括字符的图像，以及识别一组字符的子图像。可以生成子图像的适应以形成适应的子图像。该方法包括转换可以通过字符数据子集分类的数据。可以基于至少分类的子集形成转换的字符组。该方法还可以包括耦合多个经转换的字符组。

7. 发明授权

US08984022B1 Automating growth and evaluation of segmentation trees 有权
标题翻译：分割树的自动增长和评估
公开(公告)号：US08984022B1
公开(公告)日：2015-03-17
申请号：US13452626
申请日：2012-04-20
申请人： Stuart Crawford , Prasun Kumar , Navin Doshi , Xing Zhao , Richard Schiffman
发明人： Stuart Crawford , Prasun Kumar , Navin Doshi , Xing Zhao , Richard Schiffman
IPC分类号： G06F7/00 , G06F17/30 , G06F15/18 , G06E1/00 , G06F17/00 , G06Q40/08 , G06Q40/02 , G06N3/02 , G06N5/00
CPC分类号： G06F17/30327 , G06Q40/025 , G06Q40/08
摘要： A tree structure of plurality of information records arranged is recursively grown by splitting at least a portion of the records and by generating at least one predictive model. Related apparatus, systems, methods and computer program products are also described.
摘要翻译：通过分割记录的至少一部分并通过生成至少一个预测模型来递归地生成布置的多个信息记录的树结构。还描述了相关装置，系统，方法和计算机程序产品。

8. 发明授权

US08200693B2 Decision logic comparison and review 有权
标题翻译：决策逻辑比较和审查
公开(公告)号：US08200693B2
公开(公告)日：2012-06-12
申请号：US12493010
申请日：2009-06-26
申请人： Michael Steele , Stuart Crawford , Navin Doshi , Kashyap Babu Rao Kolipaka , Prasun Kumar , Sergei Tolmanov
发明人： Michael Steele , Stuart Crawford , Navin Doshi , Kashyap Babu Rao Kolipaka , Prasun Kumar , Sergei Tolmanov
IPC分类号： G06F17/00
CPC分类号： G06F7/02
摘要： Techniques are described for logically comparing strategies. In one aspect the strategies can be compared by receiving a request to compare a first strategy to a second strategy, the first strategy graphically represented by a first set of linked nodes, the second strategy graphically represented by a second set of linked nodes, each set of linked nodes linking a root node to at least one action node; identifying a subset of linked nodes from at least one of the first set of linked nodes and the second set of linked nodes based on an equivalence of a first subset of the first set of linked nodes to a second subset of the second set of linked nodes; and, providing a visual depiction of the identified subset of the linked nodes to a user, the visual depiction corresponding to the equivalence of the first subset to the second subset.
摘要翻译：描述了用于逻辑比较策略的技术。在一个方面，可以通过接收将第一策略与第二策略进行比较的请求来比较策略，由第一组链接节点图形表示的第一策略，由第二组链接节点图形表示的第二策略，每组链接节点将根节点链接到至少一个动作节点; 基于所述第一组链接节点的第一子集与所述第二组链接节点的第二子集的等同性，从所述第一组链接节点和所述第二组链接节点中的至少一个标识链接节点的子集 ; 以及向所述用户提供所确定的所述链接节点的子集的视觉描述，所述视觉描述对应于所述第一子集与所述第二子集的等价。

9. 发明授权

US07937335B2 Article and method for finding a compact representation to visualize complex decision trees 有权
标题翻译：找到紧凑表示以便可视化复杂决策树的文章和方法
公开(公告)号：US07937335B2
公开(公告)日：2011-05-03
申请号：US12854090
申请日：2010-08-10
申请人： Stuart Crawford , Gaurav Chhaparwal , Kashyap Babu Rao Kolipaka , Navin Doshi , Sergei Tolmanov
发明人： Stuart Crawford , Gaurav Chhaparwal , Kashyap Babu Rao Kolipaka , Navin Doshi , Sergei Tolmanov
IPC分类号： G06F17/00 , G06F17/20
CPC分类号： G06F17/30994
摘要： The invention comprises an article and method for transforming a complex or large decision tree having multiple variables; multiple values for each variable; and, multiple outcomes for each combination of variables and their associated values, into a compact, efficient graphical representation to provided enhanced ease of use and interaction by a human user. More particularly, the invention comprises a computationally efficient method for transforming an input decision tree into an optimal compact representation by computing a particular ordering of variables in the decision tree that first leads to a Directed Acyclic Graph, or “DAG,” with a minimum number of nodes. The method then converts the DAG into an exception-based DAG, or “EDAG,” with exactly one exception, having an optimal, minimum number of nodes with increased comprehensibility for a user.
摘要翻译：本发明包括用于变换具有多个变量的复杂或大的决策树的文章和方法; 每个变量的多个值; 以及将变量及其相关联的每个组合的多个结果转换成紧凑，高效的图形表示，以提供人类用户增强的易用性和交互性。更具体地，本发明包括一种计算有效的方法，用于通过计算决策树中首先导向定向非循环图的变量的特定排序或具有最小数目的“DAG”将输入决策树变换为最佳紧凑表示的节点。然后，该方法将DAG转换为基于异常的DAG或“EDAG”，只有一个例外，具有对用户具有更高可理解性的最佳最小数量的节点。

10. 发明授权

US07831526B1 Article and method for finding a compact representation to visualize complex decision trees 有权
标题翻译：找到紧凑表示以便可视化复杂决策树的文章和方法
公开(公告)号：US07831526B1
公开(公告)日：2010-11-09
申请号：US11845291
申请日：2007-08-27
申请人： Stuart Crawford , Gaurav Chhaparwal , Kashyap Babu Rao Kolipaka , Navin Doshi , Sergei Tolmanov
发明人： Stuart Crawford , Gaurav Chhaparwal , Kashyap Babu Rao Kolipaka , Navin Doshi , Sergei Tolmanov
IPC分类号： G06F17/00 , G06F17/20
CPC分类号： G06F17/30994
摘要： The invention comprises an article and method for transforming a complex or large decision tree having multiple variables; multiple values for each variable; and, multiple outcomes for each combination of variables and their associated values, into a compact, efficient graphical representation to provided enhanced ease of use and interaction by a human user. More particularly, the invention comprises a computationally efficient method for transforming an input decision tree into an optimal compact representation by computing a particular ordering of variables in the decision tree that first leads to a Directed Acyclic Graph, or “DAG,” with a minimum number of nodes. The method then converts the DAG into an exception-based DAG, or “EDAG,” with exactly one exception, having an optimal, minimum number of nodes with increased comprehensibility for a user.
摘要翻译：本发明包括用于变换具有多个变量的复杂或大的决策树的文章和方法; 每个变量的多个值; 以及将变量及其相关联的每个组合的多个结果转换成紧凑，高效的图形表示，以提供人类用户增强的易用性和交互性。更具体地，本发明包括一种计算有效的方法，用于通过计算决策树中首先导向定向非循环图的变量的特定排序或具有最小数目的“DAG”将输入决策树变换为最佳紧凑表示的节点。然后，该方法将DAG转换为基于异常的DAG或“EDAG”，只有一个例外，具有对用户具有更高可理解性的最佳最小数量的节点。

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