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    • 1. 发明申请
    • SYSTEMS, METHODS, AND APPARATUSES FOR CLASSIFYING USER ACTIVITY USING TEMPORAL COMBINING IN A MOBILE DEVICE
    • 使用移动设备中的时间组合分类用户活动的系统,方法和装置
    • US20120254100A1
    • 2012-10-04
    • US13362893
    • 2012-01-31
    • Leonard Henry GrokopAnthony SarahSanjiv Nanda
    • Leonard Henry GrokopAnthony SarahSanjiv Nanda
    • G06N5/04
    • A61B5/1123G06K9/00348G06K9/00536G06K9/6288G06N7/00G06N7/005
    • Components, methods, and apparatuses are provided for determining activity likelihood function values for an activity classification for two or more past epochs based, at least in part, on signals from one or more sensors of a mobile device. A method may comprise, for each of a plurality of activity classifications, determining activity likelihood function values for each of the plurality of activity classifications for two or more past epochs. The activity likelihood function values may be based on signals from one or more sensors of a mobile device. The method may also include combining the activity likelihood function values to determine a likelihood function for an activity classification at a present epoch. The method may also include inferring a present activity of a user co-located with the mobile device to be one of the activity classifications based on the determined likelihood functions for the activity classifications at the present epoch.
    • 提供了组件,方法和装置,用于至少部分地基于来自移动设备的一个或多个传感器的信号来确定用于两个或多个过去时期的活动分类的活动似然函数值。 对于多个活动分类中的每一个,方法可以包括针对两个或多个过去时期的多个活动分类中的每一个确定活动似然函数值。 活动似然函数值可以基于来自移动设备的一个或多个传感器的信号。 该方法还可以包括组合活动似然函数值以确定在当前时期的活动分类的似然函数。 该方法还可以包括基于所确定的当前时期的活动分类的似然函数,将与移动设备共存的用户的当前活动推断为活动分类之一。
    • 2. 发明授权
    • Systems, methods, and apparatuses for classifying user activity using temporal combining in a mobile device
    • 用于在移动设备中使用时间组合分类用户活动的系统,方法和装置
    • US08930300B2
    • 2015-01-06
    • US13362893
    • 2012-01-31
    • Leonard Henry GrokopAnthony SarahSanjiv Nanda
    • Leonard Henry GrokopAnthony SarahSanjiv Nanda
    • A61B5/11G06K9/00G06K9/62G06N7/00
    • A61B5/1123G06K9/00348G06K9/00536G06K9/6288G06N7/00G06N7/005
    • Components, methods, and apparatuses are provided for determining activity likelihood function values for an activity classification for two or more past epochs based, at least in part, on signals from one or more sensors of a mobile device. A method may comprise, for each of a plurality of activity classifications, determining activity likelihood function values for each of the plurality of activity classifications for two or more past epochs. The activity likelihood function values may be based on signals from one or more sensors of a mobile device. The method may also include combining the activity likelihood function values to determine a likelihood function for an activity classification at a present epoch. The method may also include inferring a present activity of a user co-located with the mobile device to be one of the activity classifications based on the determined likelihood functions for the activity classifications at the present epoch.
    • 提供了组件,方法和装置,用于至少部分地基于来自移动设备的一个或多个传感器的信号来确定用于两个或多个过去时期的活动分类的活动似然函数值。 对于多个活动分类中的每一个,方法可以包括针对两个或多个过去时期的多个活动分类中的每一个确定活动似然函数值。 活动似然函数值可以基于来自移动设备的一个或多个传感器的信号。 该方法还可以包括组合活动似然函数值以确定在当前时期的活动分类的似然函数。 该方法还可以包括基于所确定的当前时期的活动分类的似然函数,将与移动设备共存的用户的当前活动推断为活动分类之一。
    • 9. 发明申请
    • SYSTEMS AND METHODS FOR ORGANIZING DATA SETS
    • 用于组织数据集的系统和方法
    • US20090228499A1
    • 2009-09-10
    • US12042774
    • 2008-03-05
    • Mauritius A.R. SchmidtlerJan W. AmtrupStephen Michael ThompsonAnthony Sarah
    • Mauritius A.R. SchmidtlerJan W. AmtrupStephen Michael ThompsonAnthony Sarah
    • G06F17/00
    • G06F17/30598G06F17/30312G06F17/3053G06N99/005
    • A method is provided for organizing data sets. In use, an automatic decision system is created or updated for determining whether data elements fit a predefined organization or not, where the decision system is based on a set of preorganized data elements. A plurality of data elements is organized using the decision system. At least one organized data element is selected for output to a user based on a score or confidence from the decision system for the at feast one organized data element. Additionally, at least a portion of the at least one organized data element is output to the user. A response is received from the user comprising at least one of a confirmation, modification, and a negation of the organization of the at least one organized data element. The automatic decision system is recreated or updated based on the user response. Other embodiments are also presented.
    • 提供了一种用于组织数据集的方法。 在使用中,创建或更新自动决策系统以确定数据元素是否符合预定义的组织,其中决策系统基于一组预先组织的数据元素。 使用决策系统来组织多个数据元素。 选择至少一个有组织的数据元素以基于来自决定系统对于一个有组织的数据元素的得分或置信度输出给用户。 此外,至少一个有组织数据元素的至少一部分被输出给用户。 从用户接收到包括至少一个有组织数据元素的组织的确认,修改和否定中的至少一个的响应。 基于用户响应重新创建或更新自动决策系统。 还提出了其他实施例。
    • 10. 发明申请
    • METHOD AND APPARATUS FOR CLASSIFYING MULTIPLE DEVICE STATES
    • 用于分类多个设备状态的方法和装置
    • US20120299828A1
    • 2012-11-29
    • US13244170
    • 2011-09-23
    • Leonard H. GrokopAnthony Sarah
    • Leonard H. GrokopAnthony Sarah
    • G06F3/033
    • G06F3/017G06F3/0346
    • Techniques are described herein for classifying multiple device states using separate Bayesian classifiers. An example of a method described herein includes accessing sensor information of a device, wherein at least some of the sensor information is used in a first feature set and at least some of the sensor information is used in a second feature set; processing the first feature set using a first classification algorithm configured to determine a first proposed state of a first state type and a first proposed state of a second state type; processing the second feature set using a second classification algorithm configured to determine a second proposed state of the first state type and a second proposed state of the second state type; and determining a proposed state of the device as the first proposed state of the first state type and the second proposed state of the second state type.
    • 本文描述了使用单独的贝叶斯分类器对多个设备状态进行分类的技术。 本文描述的方法的示例包括访问设备的传感器信息,其中在第一特征集中使用至少一些传感器信息,并且在第二特征集中使用至少一些传感器信息; 使用被配置为确定第一状态类型的第一建议状态和第二状态类型的第一建议状态的第一分类算法来处理所述第一特征集合; 使用被配置为确定所述第一状态类型的第二建议状态和所述第二状态类型的第二建议状态的第二分类算法来处理所述第二特征集合; 以及将所述设备的建议状态确定为所述第一状态类型的第一建议状态和所述第二状态类型的所述第二建议状态。