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    • 2. 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
    • WO2012166416A1
    • 2012-12-06
    • PCT/US2012/038856
    • 2012-05-21
    • QUALCOMM IncorporatedGROKOP, Leonard H.SARAH, Anthony
    • GROKOP, Leonard H.SARAH, Anthony
    • G06F3/01G06F3/033
    • 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。
    • 3. 发明申请
    • SYSTEMS, METHODS, AND APPARATUSES FOR CLASSIFYING USER ACTIVITY USING COMBINING OF LIKELIHOOD FUNCTION VALUES IN A MOBILE DEVICE
    • 使用移动设备中的LIKELIHOOD功能值组合来分类用户活动的系统,方法和装置
    • WO2012135767A1
    • 2012-10-04
    • PCT/US2012/031697
    • 2012-03-30
    • QUALCOMM INCORPORATEDGROKOP, Leonard HenrySARAH, AnthonyNANDA, Sanjiv
    • GROKOP, Leonard HenrySARAH, AnthonyNANDA, Sanjiv
    • G06K9/00A61B5/11
    • A61B5/1123G06K9/00348G06K9/00536G06K9/6288G06N7/00G06N7/005
    • Components, methods, and apparatuses are provided that may be used to determining activity likelihood function values for the activity classification for two or more past epochs based, at least in part, on signals from one or more sensors of a mobile device. For example, 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 are based, at least in part, 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, at least in part, on the determined likelihood functions for the activity classifications at the present epoch.
    • 提供了组件,方法和装置,其可以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两个或多个过去时期的活动分类的活动似然函数值。 例如,对于多个活动分类中的每一个,方法可以包括为两个或更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。 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。 该方法还可以包括将至少部分地基于所确定的在当前时期的活动分类的可能性函数推测出与移动设备共存的用户的当前活动为活动分类之一。