Gesture-keyboard decoding using gesture path deviation
    21.
    发明授权
    Gesture-keyboard decoding using gesture path deviation 有权
    手势键盘解码使用手势路径偏差

    公开(公告)号:US09304595B2

    公开(公告)日:2016-04-05

    申请号:US13889146

    申请日:2013-05-07

    Applicant: Google Inc.

    CPC classification number: G06F3/017 G06F3/0237 G06F3/04883 G06F3/04886

    Abstract: In one example, a method includes outputting, by a computing device and for display, a graphical keyboard comprising a group of keys. The method may further include receiving an indication of a first portion of a gesture to select a first key, and determining, based at least in part on the first key, one or more predicted next characters. The method may further include determining a path from a first location of the graphical keyboard to a second location of the graphical keyboard, the first location corresponding to the first key, the second location corresponding to one of the one or more predicted next characters. The method may further include comparing a second portion of the gesture with the determined path, and selecting, based at least in part on the comparison, the one of the one or more predicted next characters.

    Abstract translation: 在一个示例中,方法包括由计算设备输出并显示包括一组键的图形键盘。 该方法还可以包括接收手势的第一部分的指示以选择第一密钥,以及至少部分地基于第一密钥确定一个或多个预测的下一个字符。 该方法还可以包括确定从图形键盘的第一位置到图形键盘的第二位置的路径,第一位置对应于第一键,第二位置对应于一个或多个预测的下一个字符之一。 该方法还可以包括将手势的第二部分与确定的路径进行比较,以及至少部分地基于比较来选择一个或多个预测的下一个字符中的一个。

    Density-based filtering of gesture events associated with a user interface of a computing device
    23.
    发明授权
    Density-based filtering of gesture events associated with a user interface of a computing device 有权
    与计算设备的用户界面相关联的手势事件的基于密度的过滤

    公开(公告)号:US08704792B1

    公开(公告)日:2014-04-22

    申请号:US13750694

    申请日:2013-01-25

    Applicant: Google Inc.

    CPC classification number: G06F3/04886 G06F3/0416 G06F3/04883

    Abstract: In one example, a computing device may receive an indication of a user input entered at a location of a presence-sensitive screen and defines a group of gesture events based at least in part on the indication. The computing device may determine a density of a portion of the group of gesture events. The density may indicate, for example, a quantity of gesture events associated with a region of the presence-sensitive screen over a time duration. In response to determining that the density satisfies a threshold, the computing device may modify the group of gesture events based at least in part on the density.

    Abstract translation: 在一个示例中,计算设备可以接收在存在感知屏幕的位置处输入的用户输入的指示,并且至少部分地基于该指示定义一组手势事件。 计算设备可以确定该组手势事件的一部分的密度。 密度可以指示例如在持续时间内与存在敏感屏幕的区域相关联的手势事件的数量。 响应于确定密度满足阈值,计算设备可以至少部分地基于密度来修改手势事件组。

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