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    Device-based activity classification using predictive feature analysis
    5.
    发明申请
    Device-based activity classification using predictive feature analysis 审中-公开
    基于设备的活动分类使用预测特征分析

    公开(公告)号：US20160066859A1

    公开(公告)日：2016-03-10

    申请号：US14121941

    申请日：2014-11-05

    申请人： Stuart Crawford ,  Piyush Savalia ,  Prasad Panchalan ,  Sylvia Hou-Yan Cheng ,  Chris Singleton ,  Sheila Nabanja ,  Ilyas Mohammad ,  Sumit Sharma

    发明人： Stuart Crawford ,  Piyush Savalia ,  Prasad Panchalan ,  Sylvia Hou-Yan Cheng ,  Chris Singleton ,  Sheila Nabanja ,  Ilyas Mohammad ,  Sumit Sharma

    IPC分类号： A61B5/00 ,  A61B5/0205

    CPC分类号： A61B5/7264 ,  A61B5/02055 ,  A61B5/021 ,  A61B5/02438 ,  A61B5/0404 ,  A61B5/0531 ,  A61B5/0533 ,  A61B5/0816 ,  A61B5/1123 ,  A61B5/681 ,  A61B2560/0475 ,  A61B2562/0214 ,  A61B2562/0219

    摘要： Device-based activity classification using predictive feature analysis is described, including receiving a signal from a sensor coupled to a device, the sensor being configured to detect the signal over a time period and to detect motion, evaluating the signal to generate data, the data being used to indicate motion, the data being further evaluated to select a classifier based on whether the motion is detected, activating another sensor coupled to the device, the another sensor being configured to detect another signal that is substantially different than the signal, the another signal being used to generate other data associated with whether the motion is detected, invoking the classifier, the classifier being configured to evaluate a predictive feature to identify a type associated with whether the motion is detected, the predictive feature invoking an application configured to determine the type and a state using a feature interpreter, and processing the data using the application and the feature interpreter to generate information associated with a biological state associated with whether the motion is detected, the information being configured to display on an interface associated with the device.

    摘要翻译： 描述使用预测特征分析的基于设备的活动分类，包括从耦合到设备的传感器接收信号，所述传感器被配置为在一段时间内检测信号并检测运动，评估信号以产生数据，数据 用于指示运动，所述数据被进一步评估以基于是否检测到运动来选择分类器，激活耦合到所述设备的另一传感器，所述另一传感器被配置为检测与所述信号基本不同的另一信号，所述另一传感器 信号被用于产生与是否检测到运动相关联的其他数据，调用分类器，分类器被配置为评估预测特征以识别与是否检测到运动相关联的类型，预测特征调用被配置为确定 类型和使用特征解释器的状态，并使用应用程序处理数据 以及所述特征解释器，用于生成与是否检测到所述运动相关联的生物状态相关联的信息，所述信息被配置为在与所述设备相关联的接口上显示。