Tracking service queues using single-point signal monitoring

    公开(公告)号:US10244356B2

    公开(公告)日:2019-03-26

    申请号:US15894421

    申请日:2018-02-12

    摘要: A method of tracking a service queue using a single-point signal monitor in which at least one customer carries a wireless device may include: receiving a received signal strength from the wireless device as a trace; identify first segments of the trace containing mostly positive sloped received signal strength; identify second segments of the trace containing mostly negative sloped received signal; extract attributes from the first and second segments as child variables for two parent nodes in a Bayesian Network in which the two parent nodes respectively model a beginning of service and a leaving period for a service queue; and inputting the extracted attributes into Bayesian Network; and determining a beginning of service and leaving period using the Bayesian Network. The method may also include determining critical time points in a trace using a K-L divergence technique.

    Tracking Service Queues Using Single-Point Signal Monitoring
    3.
    发明申请
    Tracking Service Queues Using Single-Point Signal Monitoring 有权
    使用单点信号监测跟踪服务队列

    公开(公告)号:US20160360373A1

    公开(公告)日:2016-12-08

    申请号:US15173181

    申请日:2016-06-03

    IPC分类号: H04W4/02 H04W4/04 H04W64/00

    摘要: A method of tracking a service queue using a single-point signal monitor in which at least one customer carries a wireless device may include: receiving a received signal strength from the wireless device as a trace; identify first segments of the trace containing mostly positive sloped received signal strength; identify second segments of the trace containing mostly negative sloped received signal; extract attributes from the first and second segments as child variables for two parent nodes in a Bayesian Network in which the two parent nodes respectively model a beginning of service and a leaving period for a service queue; and inputting the extracted attributes into Bayesian Network; and determining a beginning of service and leaving period using the Bayesian Network. The method may also include determining critical time points in a trace using a K-L divergence technique.

    摘要翻译: 使用其中至少一个客户携带无线设备的单点信号监视器跟踪服务队列的方法可以包括:作为跟踪从无线设备接收接收到的信号强度; 识别痕迹的第一段主要包含正倾斜的接收信号强度; 识别痕迹的第二段主要包含负倾斜接收信号; 从第一和第二段中提取属性作为贝叶斯网络中两个父节点的子变量,其中两个父节点分别建立服务开始和服务队列的离职周期; 并将提取的属性输入贝叶斯网络; 并使用贝叶斯网络确定服务和离开时间段的开始。 该方法还可以包括使用K-L发散技术确定痕迹中的临界时间点。

    SYSTEMS AND METHODS FOR DETECTING DRIVER PHONE OPERATION USING DEVICE POSITION AND ORIENTATION DATA
    4.
    发明申请
    SYSTEMS AND METHODS FOR DETECTING DRIVER PHONE OPERATION USING DEVICE POSITION AND ORIENTATION DATA 有权
    使用设备位置和方向数据检测驱动电话操作的系统和方法

    公开(公告)号:US20150382156A1

    公开(公告)日:2015-12-31

    申请号:US14751086

    申请日:2015-06-25

    IPC分类号: H04W4/04

    CPC分类号: H04W4/40 H04W4/046

    摘要: A method for determining the position in a vehicle of a first device in communication with a microprocessor may include receiving, at the microprocessor, a first set of inertial data from at least one sensor of the first device; receiving, at the microprocessor, a second set of inertial data from at least one sensor of a reference device disposed within the vehicle; and determining, using the microprocessor, the position of the first device in the vehicle by comparing the first set of inertial data with the second set of inertial data.

    摘要翻译: 用于确定与微处理器通信的第一设备的车辆中的位置的方法可以包括在微处理器处从第一设备的至少一个传感器接收第一组惯性数据; 在微处理器处从设置在车辆内的参考装置的至少一个传感器接收第二组惯性数据; 以及通过将所述第一组惯性数据与所述第二组惯性数据进行比较来确定所述第一装置在所述车辆中的位置。

    Tracking service queues using single-point signal monitoring

    公开(公告)号:US10531233B2

    公开(公告)日:2020-01-07

    申请号:US16362026

    申请日:2019-03-22

    摘要: A method of tracking a service queue using a single-point signal monitor in which at least one customer carries a wireless device may include: receiving a received signal strength from the wireless device as a trace; identify first segments of the trace containing mostly positive sloped received signal strength; identify second segments of the trace containing mostly negative sloped received signal; extract attributes from the first and second segments as child variables for two parent nodes in a Bayesian Network in which the two parent nodes respectively model a beginning of service and a leaving period for a service queue; and inputting the extracted attributes into Bayesian Network; and determining a beginning of service and leaving period using the Bayesian Network. The method may also include determining critical time points in a trace using a K-L divergence technique.