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    ANTENNAS AND METHODS OF IMPLEMENTING THE SAME FOR WEARABLE PODS AND DEVICES THAT INCLUDE METALIZED INTERFACES
    11.
    发明申请
    ANTENNAS AND METHODS OF IMPLEMENTING THE SAME FOR WEARABLE PODS AND DEVICES THAT INCLUDE METALIZED INTERFACES 审中-公开
    对包含金属化界面的可穿戴荚和装置实施相同的天线和方法

    公开(公告)号：US20160072177A1

    公开(公告)日：2016-03-10

    申请号：US14480462

    申请日：2014-09-08

    Applicant: Sumit Sharma ,  Piyush Savalia ,  Chris Singleton ,  Prasad Panchalan ,  Iiyas Mohammad

    Inventor： Sumit Sharma ,  Piyush Savalia ,  Chris Singleton ,  Prasad Panchalan ,  Iiyas Mohammad

    IPC: H01Q1/24 ,  H01Q1/22 ,  H04B1/40 ,  H05K5/02 ,  H05K3/30 ,  H04W4/00 ,  H01Q9/04 ,  H01Q1/27

    CPC classification number: H04W4/80 ,  H01Q1/2291 ,  H01Q1/273 ,  H01Q9/42 ,  H04B1/3827

    Abstract: Embodiments relate generally to electrical and electronic hardware, computer software, wired and wireless network communications, and computing devices, and, in particular, to antenna structures and formation methods for a wearable pod and/or device implementing a touch-sensitive interface in a metal pod cover. According to an embodiment, formation of a wearable pod includes selecting an antenna having a first surface area that extends beyond a second surface area associated with an attachment portion a cradle for a wearable pod. The method also includes forming an under-anchor portion composed of an interface material configured to bind to the cradle and to an elastomer, and disposing the antenna on a surface of the under-anchor portion at a distance from the second surface area associated with the attachment portion. Also, the method can include forming an over-anchor portion.

    Abstract translation: 实施例一般涉及电气和电子硬件，计算机软件，有线和无线网络通信以及计算设备，特别涉及用于在金属中实现触敏界面的可穿戴荚和/或设备的天线结构和形成方法 荚盖 根据实施例，可穿戴荚的形成包括选择具有第一表面区域的天线，所述第一表面区域延伸超过与附接部分相关联的第二表面区域，用于可穿戴荚果的支架。 该方法还包括形成由构造成结合到支架和弹性体的界面材料构成的下锚定部分，并且将天线放置在与锚固部分相关联的第二表面区域一定距离处的锚固部分的表面上 附件部分。 此外，该方法可以包括形成过锚定部分。

    Device-based activity classification using predictive feature analysis
    13.
    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

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

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

    IPC: A61B5/00 ,  A61B5/0205

    CPC classification number: 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

    Abstract: 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.

    Abstract translation: 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。

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