METHOD AND SYSTEM OF DETERMING USER ENGAGEMENT AND SENTIMENT WITH LEARNED MODELS AND USER-FACING CAMERA IMAGES
    2.
    发明申请
    METHOD AND SYSTEM OF DETERMING USER ENGAGEMENT AND SENTIMENT WITH LEARNED MODELS AND USER-FACING CAMERA IMAGES 审中-公开
    用户参与和使用学习型模型和用户界面相机图像确定的方法和系统

    公开(公告)号:US20140340531A1

    公开(公告)日:2014-11-20

    申请号:US13895311

    申请日:2013-05-15

    IPC分类号: H04N5/232

    摘要: In one exemplary embodiment, a method includes the step of obtaining a digital image of a user with a user-facing camera of a computing device. It is determined that the digital image includes a frontal image of the user. A user-sentiment score is calculated based on at least one attribute of the frontal image. A user engagement value is determined with respect to a portion of a display of the computing device. At least one of the frontal image of the user, the user-sentiment score or the gaze position of the user is communicated to an external server process or an application operating in the computing device.

    摘要翻译: 在一个示例性实施例中,一种方法包括以下步骤:利用计算设备的面向用户的相机来获得用户的数字图像。 确定数字图像包括用户的正面图像。 基于正面图像的至少一个属性来计算用户情绪评分。 关于计算设备的显示的一部分来确定用户参与值。 用户的正面图像,用户情感评分或用户的注视位置中的至少一个被传送到在计算设备中操作的外部服务器进程或应用程序。

    Systems and methods for propagating health of a cluster node
    3.
    发明授权
    Systems and methods for propagating health of a cluster node 有权
    用于传播群集节点运行状况的系统和方法

    公开(公告)号:US09071537B2

    公开(公告)日:2015-06-30

    申请号:US13524964

    申请日:2012-06-15

    摘要: The present disclosure describes systems and methods for propagating port state to intermediary devices of a cluster in a static link aggregation environment. The methods and systems include a cluster comprising a plurality of intermediary devices in communication with a network device via a static link aggregation comprising aggregated ports from different intermediary devices of the cluster. A first device of the static link aggregation is configured to detect that a health of the first device is below a predetermined threshold and, responsive to the detection, identify one or more ports in the aggregated ports as down. A second device of the link aggregation is configured to, responsive to the identification, remove the ports from a distribution list for the static link aggregation. Upon detection that a health of a device is above a predetermined threshold, the first device may identify the ports as up.

    摘要翻译: 本公开描述了用于将端口状态传播到静态链路聚合环境中的集群的中间设备的系统和方法。 所述方法和系统包括:集群,其包括通过包括来自所述集群的不同中间设备的聚合端口的静态链路聚合与网络设备通信的多个中间设备。 静态链路聚合的第一设备被配置为检测第一设备的运行状况是否低于预定阈值,并且响应于该检测,将聚合端口中的一个或多个端口标识为down。 链路聚合的第二设备被配置为响应于该标识,从静态链路聚合的通信列表中移除端口。 当检测到设备的健康状况高于预定阈值时,第一设备可以将端口识别为up。

    Method and system of determing user engagement and sentiment with learned models and user-facing camera images
    4.
    发明授权
    Method and system of determing user engagement and sentiment with learned models and user-facing camera images 有权
    用学习型号和面向用户的相机图像确定用户参与度和情绪的方法和系统

    公开(公告)号:US09013591B2

    公开(公告)日:2015-04-21

    申请号:US13895311

    申请日:2013-05-15

    摘要: In one exemplary embodiment, a method includes the step of obtaining a digital image of a user with a user-facing camera of a computing device. It is determined that the digital image includes a frontal image of the user. A user-sentiment score is calculated based on at least one attribute of the frontal image. A user engagement value is determined with respect to a portion of a display of the computing device. At least one of the frontal image of the user, the user-sentiment score or the gaze position of the user is communicated to an external server process or an application operating in the computing device.

    摘要翻译: 在一个示例性实施例中,一种方法包括以下步骤:利用计算设备的面向用户的相机来获得用户的数字图像。 确定数字图像包括用户的正面图像。 基于正面图像的至少一个属性来计算用户情绪评分。 关于计算设备的显示的一部分来确定用户参与值。 用户的正面图像,用户情感评分或用户的注视位置中的至少一个被传送到在计算设备中操作的外部服务器进程或应用程序。