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    • 24. 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。
    • 26. 发明授权
    • Sensor networks based on wireless devices
    • 基于无线设备的传感器网络
    • US08886229B2
    • 2014-11-11
    • US11862051
    • 2007-09-26
    • Sanjiv NandaAvneesh Agrawal
    • Sanjiv NandaAvneesh Agrawal
    • H04W24/00G01S5/00G01D21/00H04W16/14H04W24/10H04W84/18
    • G01D21/00G01S5/0009H04W16/14H04W24/00H04W24/10H04W84/12H04W84/18
    • Techniques for using wireless devices to implement sensor networks are described. For cognitive radio, a wireless device obtains measurements for a first system (e.g., a broadcast system) with which the wireless device is not in communication. The wireless device sends the measurements and associated location information and/or timestamps via a second system (e.g., a cellular system). A server receives measurements from a number of wireless devices and determines the coverage of the first system based on the measurements. For other applications, a wireless device obtains sensor information from at least one sensor at the wireless device and sends the sensor information and associated location information and/or timestamps via a wireless system. A server receives the sensor information and associated information from a number of wireless devices, aggregates the sensor information, and constructs a map. The wireless device may develop a user profile based on the sensor information and associated information.
    • 描述了使用无线设备来实现传感器网络的技术。 对于认知无线电,无线设备获得与无线设备不在通信的第一系统(例如,广播系统)的测量。 无线设备经由第二系统(例如,蜂窝系统)发送测量和相关联的位置信息和/或时间戳。 服务器从多个无线设备接收测量值,并根据测量结果确定第一系统的覆盖范围。 对于其他应用,无线设备从无线设备处的至少一个传感器获取传感器信息,并且经由无线系统发送传感器信息和相关联的位置信息和/或时间戳。 服务器从多个无线设备接收传感器信息和关联信息,聚合传感器信息,并构建一个映射。 无线设备可以基于传感器信息和相关信息来开发用户简档。