IN-TRANSIT DETECTION USING LOW COMPLEXITY ALGORITHM FUSION AND PHONE STATE HEURISTICS
    21.
    发明申请
    IN-TRANSIT DETECTION USING LOW COMPLEXITY ALGORITHM FUSION AND PHONE STATE HEURISTICS 有权
    使用低复杂度算法融合和电话状态进行传输检测

    公开(公告)号:US20140269363A1

    公开(公告)日:2014-09-18

    申请号:US13839483

    申请日:2013-03-15

    Abstract: System and methods are disclosed to use information available on the state of mobile devices in a heuristics-based approach to improve motion state detection. In one or more embodiments, information on the WiFi connectivity of mobile devices may be used to improve the detection of the in-transit state. The WiFi connectivity information may be used with sensor signal such as accelerometer signals in a motion classifier to reduce the false positives of the in-transit state. In one or more embodiments, information that a mobile device is connected to a WiFi access point (AP) may be used as heuristics to reduce the probability of falsely classifying the mobile device in the in-transit state when mobile device is actually in the hand of a relatively stationary user. Information on the battery charging state or the wireless connectivity of the mobile devices may also be used to improve the detection of in-transit state.

    Abstract translation: 公开了系统和方法以基于启发式的方法来使用可用于移动设备状态的信息来改善运动状态检测。 在一个或多个实施例中,可以使用关于移动设备的WiFi连接性的信息来改善在过境状态的检测。 WiFi连接信息可以与运动分类器中的诸如加速度计信号的传感器信号一起使用,以减少运输中状态的假阳性。 在一个或多个实施例中,移动设备连接到WiFi接入点(AP)的信息可以被用作启发式方法,以减少当移动设备实际上在手中时在移动设备中错误地分类移动设备的概率 的相对固定的用户。 有关电池充电状态或移动设备的无线连接性的信息也可用于改善在过境状态的检测。

    CALENDAR MATCHING OF INFERRED CONTEXTS AND LABEL PROPAGATION
    22.
    发明申请
    CALENDAR MATCHING OF INFERRED CONTEXTS AND LABEL PROPAGATION 有权
    传播参数和标签传播的日历匹配

    公开(公告)号:US20130295956A1

    公开(公告)日:2013-11-07

    申请号:US13799442

    申请日:2013-03-13

    CPC classification number: H04W4/025 G06Q10/1093 H04L67/22 H04M1/72566

    Abstract: Methods, systems, computer-readable media, and apparatuses for calendar matching of inferred contexts are described. In one potential embodiment, a mobile device may use context information to generate a calendar of inferred contexts. Label information from raw calendar data may be used to update an inferred context within a calendar of inferred contexts. Additionally, the label may be propagated to future contexts and entries in an inferred context calendar.

    Abstract translation: 描述了用于推断的上下文的日历匹配的方法,系统,计算机可读介质和装置。 在一个潜在实施例中,移动设备可以使用上下文信息来生成推断上下文的日历。 来自原始日历数据的标签信息可用于更新推断上下文日历内的推断上下文。 此外,标签可以传播到推断的上下文日历中的未来上下文和条目。

    Audio-based device control
    23.
    发明授权

    公开(公告)号:US11184699B2

    公开(公告)日:2021-11-23

    申请号:US16539116

    申请日:2019-08-13

    Abstract: Some disclosed systems may include a microphone system having two or more microphones, an interface system and a control system. In some examples, the control system may be capable of receiving, via the interface system, audio data from two or more microphones of the microphone system, of determining a gesture location based, at least in part, on the audio data and of controlling one or more settings of the system based on the gesture location.

    Aggregate context inferences using multiple context streams
    25.
    发明授权
    Aggregate context inferences using multiple context streams 有权
    使用多个上下文流的聚合上下文推断

    公开(公告)号:US09582755B2

    公开(公告)日:2017-02-28

    申请号:US13799337

    申请日:2013-03-13

    CPC classification number: G06N5/02 H04M1/72563 H04M2250/12

    Abstract: Methods, systems, computer-readable media, and apparatuses for inferring context are provided. In one potential implementation, first context information associated with a first duration is identified, second context information is accessed to determine a context segmentation boundary; and the first context information and the second context information is then aggregated to generate an inferred segmented aggregated context. In a further implementation, the first context information is used to average inferred contexts, and the context segmentation boundary is used to reset a start time for averaging the first context information.

    Abstract translation: 提供了用于推断上下文的方法,系统,计算机可读介质和装置。 在一个潜在实现中,识别与第一持续时间相关联的第一上下文信息,访问第二上下文信息以确定上下文分段边界; 然后聚合第一上下文信息和第二上下文信息以生成推断的分段聚合上下文。 在进一步的实现中,第一上下文信息用于平均推断的上下文,并且使用上下文分段边界来重置用于平均第一上下文信息的开始时间。

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