Location filtering using mobile country code

    公开(公告)号:AU2011205243A1

    公开(公告)日:2012-08-16

    申请号:AU2011205243

    申请日:2011-01-13

    Applicant: APPLE INC

    Abstract: Methods, program products, and systems for location filtering using mobile country code (MCC) is described. A mobile device can determine its geographic location using locations of access points of a wireless communications network to which the mobile device is connected. The mobile device can wirelessly receive identifiers of one or more access points of the wireless communications network and a current MCC through a cellular network. The mobile device can identify a polygon that is a bounding box of a geographic area that corresponds to the current MCC. The mobile device can select a set of access point locations from a location database using the received identifiers, where the access point locations are inside the identified polygon. The mobile device can determine a current location of the mobile device based on an average location of the selected set of access point locations.

    MOTION PATTERN CLASSIFICATION AND GESTURE RECOGNITION
    5.
    发明申请
    MOTION PATTERN CLASSIFICATION AND GESTURE RECOGNITION 审中-公开
    运动图案分类和姿态识别

    公开(公告)号:WO2012166354A2

    公开(公告)日:2012-12-06

    申请号:PCT/US2012037999

    申请日:2012-05-15

    CPC classification number: G06F3/017 G06F3/04842 G06F3/04883 G06K9/00355

    Abstract: Methods, program products, and systems for gesture classification and recognition are disclosed. In general, in one aspect, a system can determine multiple motion patterns for a same user action (e.g., picking up a mobile device from a table) from empirical training data. The system can collect the training data from one or more mobile devices. The training data can include multiple series of motion sensor readings for a specified gesture. Each series of motion sensor readings can correspond to a particular way a user performs the gesture. Using clustering techniques, the system can extract one or more motion patterns from the training data. The system can send the motion patterns to mobile devices as prototypes for gesture recognition.

    Abstract translation: 公开了用于手势分类和识别的方法,程序产品和系统。 通常,在一个方面,系统可以根据经验训练数据确定用于相同用户动作(例如,从表中拾取移动设备)的多个运动模式。 系统可以从一个或多个移动设备收集训练数据。 训练数据可以包括用于指定手势的多个运动传感器读数。 每个系列的运动传感器读数可以对应于用户执行手势的特定方式。 使用聚类技术,系统可以从训练数据中提取一个或多个运动模式。 系统可以将运动模式发送到移动设备作为用于手势识别的原型。

    Location filtering using mobile country code

    公开(公告)号:AU2011205243B2

    公开(公告)日:2015-02-12

    申请号:AU2011205243

    申请日:2011-01-13

    Applicant: APPLE INC

    Abstract: Methods, program products, and systems for location filtering using mobile country code (MCC) is described. A mobile device can determine its geographic location using locations of access points of a wireless communications network to which the mobile device is connected. The mobile device can wirelessly receive identifiers of one or more access points of the wireless communications network and a current MCC through a cellular network. The mobile device can identify a polygon that is a bounding box of a geographic area that corresponds to the current MCC. The mobile device can select a set of access point locations from a location database using the received identifiers, where the access point locations are inside the identified polygon. The mobile device can determine a current location of the mobile device based on an average location of the selected set of access point locations.

    Context aware map application
    8.
    发明专利

    公开(公告)号:AU2013272253A1

    公开(公告)日:2014-12-04

    申请号:AU2013272253

    申请日:2013-04-29

    Applicant: APPLE INC

    Abstract: The embodiments described relate to techniques and systems for utilizing a portable electronic device to monitor, process, present and manage data captured by a series of sensors and location awareness technologies to provide a context aware map and navigation application. The context aware map application offers a user interface including visual and audio input and output, and provides several map modes that can change based upon context determined by data captured by a series of sensors and location awareness technologies.

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