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    • 3. 发明申请
    • DEVICE POSITION ESTIMATES FROM MOTION AND AMBIENT LIGHT CLASSIFIERS
    • 设备位置从运动和环境光分类器估计
    • WO2012141811A1
    • 2012-10-18
    • PCT/US2012/027105
    • 2012-02-29
    • QUALCOMM IncorporatedGROKOP, Leonard HenryNARAYANAN, Vidya
    • GROKOP, Leonard HenryNARAYANAN, Vidya
    • G01S5/16
    • G01S5/16G01C19/34G01C19/44G01C21/165G06F1/1686G06F1/1694H04M1/72522
    • A position estimate for a mobile device is generated using data from motion sensors, such as accelerometers, magnetometers, and/or gyroscopes, and data from light sensors, such as an ambient light sensor, proximity sensor and/or camera intensity sensor. A plurality of proposed positions with associated likelihoods is generated by analyzing information from the motion sensors and a list of candidate positions is produced based on information from the light sensors. At least one of the plurality of proposed positions is eliminated using the list of candidate positions and a position estimate for the mobile device is determined based on the remaining proposed positions and associated likelihoods. The proposed positions may be generated by extracting features from the information from the motion sensors and using models to generate likelihoods for the proposed positions. The likelihoods may be filtered over time. Additionally, a confidence metric may be generated for the estimated position.
    • 使用来自诸如加速度计,磁力计和/或陀螺仪的运动传感器的数据以及来自诸如环境光传感器,接近传感器和/或照相机强度传感器的光传感器的数据来生成移动设备的位置估计。 通过分析来自运动传感器的信息来产生具有相关似然性的多个提出的位置,并且基于来自光传感器的信息产生候选位置的列表。 使用候选位置的列表来消除多个提出的位置中的至少一个,并且基于剩余的建议位置和相关联的可能性来确定移动设备的位置估计。 可以通过从运动传感器的信息中提取特征并使用模型来产生所提出的位置的可能性来产生所提出的位置。 可能性可能会随时间过滤。 另外,可以为估计位置生成置信度量度。
    • 10. 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。