Sensor auto-calibration
    1.
    发明授权
    Sensor auto-calibration 有权
    传感器自动校准

    公开(公告)号:US09581466B2

    公开(公告)日:2017-02-28

    申请号:US13673950

    申请日:2012-11-09

    Abstract: Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for scheduling an execution of a task, such as a non-real time, non-latency sensitive background task on a computing device. In one implementation, the technique includes detecting a first state of a device, wherein the first state of the device is associated with a first power level and a first task, wherein the first power level is at least partially based on power consumption of a first task, determining that the first power level associated with the first state is above a threshold, and in response to determining that the first power level associated with the first state is above the threshold, and scheduling an execution of a second task on the device, wherein the second task is associated with automatically collecting of calibration data using at least one sensor.

    Abstract translation: 本公开的方面涉及计算技术。 特别地,本公开的方面涉及移动计算设备技术,例如用于调度任务的执行的系统,方法,设备和计算机可读介质,诸如非实时非延迟敏感的后台任务 计算设备。 在一个实现中,该技术包括检测设备的第一状态,其中设备的第一状态与第一功率电平和第一任务相关联,其中第一功率电平至少部分地基于第一功率电平的功率消耗 确定与第一状态相关联的第一功率电平高于阈值,并且响应于确定与第一状态相关联的第一功率电平高于阈值,并且调度设备上的第二任务的执行, 其中所述第二任务与使用至少一个传感器自动收集校准数据相关联。

    GYRO AIDED TAP GESTURE DETECTION
    2.
    发明申请
    GYRO AIDED TAP GESTURE DETECTION 审中-公开
    GYRO AIDED TAP GESTURE检测

    公开(公告)号:US20140168057A1

    公开(公告)日:2014-06-19

    申请号:US13887695

    申请日:2013-05-06

    Abstract: Methods, systems, computer-readable media, and apparatuses for tap detection in a mobile device are presented. In some embodiments, the method may comprise storing, by a mobile device, a first data sample from an accelerometer sensor and a second data sample from a gyroscope sensor. Additionally, the method may comprise processing a plurality of data samples. The plurality of data samples can include the first data sample or the second data sample. Optionally, in one embodiment, the method may comprise suppressing a tap that has been classified as a false detection based on at least one of the plurality of data samples. Subsequently, the method may comprise determining an occurrence of a tap at a mobile device based on the results of the processing.

    Abstract translation: 提出了用于移动设备中的抽头检测的方法,系统,计算机可读介质和装置。 在一些实施例中,该方法可以包括由移动设备从加速度计传感器和来自陀螺仪传感器的第二数据样本存储第一数据样本。 另外,该方法可以包括处理多个数据样本。 多个数据样本可以包括第一数据样本或第二数据样本。 可选地,在一个实施例中,该方法可以包括基于多个数据样本中的至少一个来抑制已被分类为错误检测的抽头。 随后,该方法可以包括基于处理的结果来确定移动设备上的抽头的发生。

    IN-TRANSIT DETECTION USING LOW COMPLEXITY ALGORITHM FUSION AND PHONE STATE HEURISTICS
    4.
    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。

    Swing compensation in step detection

    公开(公告)号:US10564178B2

    公开(公告)日:2020-02-18

    申请号:US14044775

    申请日:2013-10-02

    Abstract: Step detection accuracy in mobile devices is increased by determining whether swinging is taking place. According to the invention, swinging can be detected using threshold detection, Eigen analysis, hybrid frequency analysis, and/or gyroscope-based analysis, for example. The determination that swinging is (or may be) occurring can impact how the mobile device reports detected steps for step detection. A count of missteps and/or a level of certainty, based on swing detection, can be provided with a step count.

    Sensor auto-calibration
    7.
    发明授权
    Sensor auto-calibration 有权
    传感器自动校准

    公开(公告)号:US09546883B2

    公开(公告)日:2017-01-17

    申请号:US13673962

    申请日:2012-11-09

    Abstract: Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for improving calibration data by increasing the diversity of orientations used for generating the calibration data. In one embodiment, the computing device receives a plurality of calibration measurements associated with one or more sensors of a device, determines a degree to which the plurality of calibration measurements were captured at different orientations of the device, and determines, based on the degree, whether to update one or more calibration parameters.

    Abstract translation: 本公开的方面涉及计算技术。 具体地,本公开的方面涉及移动计算设备技术,例如用于通过增加用于生成校准数据的取向的多样性来改进校准数据的系统,方法,设备和计算机可读介质。 在一个实施例中,计算设备接收与设备的一个或多个传感器相关联的多个校准测量,确定在设备的不同取向上捕获多个校准测量的程度,并且基于该程度, 是否更新一个或多个校准参数。

    Sensor auto-calibration
    8.
    发明授权
    Sensor auto-calibration 有权
    传感器自动校准

    公开(公告)号:US09534924B2

    公开(公告)日:2017-01-03

    申请号:US13673967

    申请日:2012-11-09

    Abstract: Aspects of the disclosure relate to computing technologies. In particular, aspects of the disclosure relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media to improve the calibration data by taking into account the effects of change in temperature on motion sensors. For instance, different levels of error may be associated with a motion sensor at different temperature levels. In one implementation, the sensor measurement data associated with the various orientations at a temperature is used in determining the calibration data for that temperature.

    Abstract translation: 本公开的方面涉及计算技术。 特别地,本公开的方面涉及移动计算设备技术,例如系统,方法,设备和计算机可读介质,以通过考虑温度变化对运动传感器的影响来改进校准数据。 例如,不同水平的误差可能与不同温度水平的运动传感器相关联。 在一个实施方式中,在确定该温度的校准数据时使用与温度下的各种取向相关联的传感器测量数据。

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