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    Handwriting keyboard for screens
    51.
    发明授权
    Handwriting keyboard for screens 有权

    公开(公告)号：US10466895B2

    公开(公告)日：2019-11-05

    申请号：US16265676

    申请日：2019-02-01

    Applicant: Apple Inc.

    Inventor： Ryan S. Dixon ,  Imran Chaudhri ,  Bradley W. Griffin ,  Tiffany S. Jon

    IPC: G06F3/0488 ,  G06F17/27 ,  G06F3/023 ,  G06F3/0481 ,  G06K9/00

    Abstract: The present disclosure generally relates to handwriting on touch sensitive surfaces. In some examples, text suggestions strokes entered on a touch sensitive surface are viewed and selected in response to a rotatable input mechanism. In some examples, text determined from a set of strokes on the touch sensitive surface is revised based on a subsequently entered stroke on the touch sensitive surface. In some examples, a determination is made whether to include a stroke in a set of strokes based a time between the stroke and the previous stroke. In some examples, determining text based on a set of stroke is interrupted to determined revised text based on the set of strokes and a second stroke.

    Device, method, and user interface for processing intensity of touch contacts
    57.
    发明授权
    Device, method, and user interface for processing intensity of touch contacts 有权

    公开(公告)号：US09645669B2

    公开(公告)日：2017-05-09

    申请号：US14869225

    申请日：2015-09-29

    Applicant: Apple Inc.

    Inventor： Raleigh J. Ledet ,  Ryan S. Dixon ,  Nils T. Beck ,  Nicole M. Wells

    IPC: G06F3/041 ,  G06F3/0488

    CPC classification number: G06F3/016 ,  G06F3/0414 ,  G06F3/0416 ,  G06F3/04817 ,  G06F3/0488 ,  G06F2203/04105

    Abstract: An electronic device includes a touch-sensitive surface. The electronic device includes one or more sensors to detect intensity of contacts with the touch-sensitive surface. The device detects a first touch input on the touch-sensitive surface, and, in response to detecting the first touch input on the touch-sensitive surface, determines a first intensity applied by the first touch input on the touch-sensitive surface. The device identifies a first intensity model identifier from a plurality of predefined intensity model identifiers, and, in accordance with the first intensity applied by the first touch input on the touch-sensitive surface and one or more thresholds associated with the first intensity model identifier, determines a first touch characterization parameter. Subsequent to determining the first touch characterization parameter, the device sends first touch information to the first software application. The first touch information includes the first intensity model identifier and the first touch characterization parameter.

    Device, Method, and User Interface for Processing Intensity of Touch Contacts
    59.
    发明申请
    Device, Method, and User Interface for Processing Intensity of Touch Contacts 有权
    用于处理触摸触点强度的设备，方法和用户界面

    公开(公告)号：US20160259472A1

    公开(公告)日：2016-09-08

    申请号：US14869292

    申请日：2015-09-29

    Applicant: Apple Inc.

    Inventor： Raleigh J. Ledet ,  Ryan S. Dixon ,  Nils T. Beck ,  Nicole M. Wells

    IPC: G06F3/041

    CPC classification number: G06F3/016 ,  G06F3/0414 ,  G06F3/0416 ,  G06F3/04817 ,  G06F3/0488 ,  G06F2203/04105

    Abstract: An electronic device displays a user interface that includes a first display region and a second display region. The device detects a first intensity of a touch input at a first location on a touch-sensitive surface that corresponds to the first display region; detects a movement of the touch input to a second location on the touch-sensitive surface that corresponds to the second display region; after detecting the movement, detects a second intensity of the touch input at the second location; and, in response, in accordance with a determination that the first intensity does not satisfy a first intensity threshold, processes the second intensity using one or more intensity thresholds associated with the second display region; and, in accordance with a determination that the first intensity satisfies the first intensity threshold, processes the second intensity using one or more intensity thresholds associated with the first display region.

    Abstract translation: 电子设备显示包括第一显示区域和第二显示区域的用户界面。 所述装置检测对应于所述第一显示区域的触敏表面上的第一位置处的触摸输入的第一强度; 检测所述触摸输入到对应于所述第二显示区域的所述触敏表面上的第二位置的移动; 在检测到移动之后，检测第二位置处的触摸输入的第二强度; 并且作为响应，根据第一强度不满足第一强度阈值的确定，使用与第二显示区域相关联的一个或多个强度阈值处理第二强度; 并且根据第一强度满足第一强度阈值的确定，使用与第一显示区域相关联的一个或多个强度阈值处理第二强度。

    Systems And Methods For Character Sequence Recognition With No Explicit Segmentation
    60.
    发明申请
    Systems And Methods For Character Sequence Recognition With No Explicit Segmentation 审中-公开
    没有显式分割的字符序列识别的系统和方法

    公开(公告)号：US20150347860A1

    公开(公告)日：2015-12-03

    申请号：US14292781

    申请日：2014-05-30

    Applicant: APPLE INC.

    Inventor： Ueli Meier ,  Ryan S. Dixon ,  Karl M. Groethe ,  Jerome R. Bellegarda

    IPC: G06K9/18 ,  G06K9/62 ,  G06K9/32 ,  G06K9/72

    CPC classification number: G06K9/72 ,  G06K9/2081 ,  G06K9/3241 ,  G06K9/3258 ,  G06K9/3275 ,  G06K9/4628

    Abstract: Differing embodiments of this disclosure may be employed to perform character sequence recognition with no explicit character segmentation. According to some embodiments, the character sequence recognition process may comprise generating a predicted character sequence for a first representation of a first image comprising a first plurality of pixels by: sliding a Convolutional Neural Network (CNN) classifier over the first representation of the first image one pixel position at a time until reaching an extent of the first representation of the first image; recording a likelihood value for each of k potential output classes at each pixel position, wherein one of the k potential output classes comprises a background class; determining a sequence of most likely output classes at each pixel position; decoding the sequence by removing identical consecutive output class determinations and background class determinations from the determined sequence; and validating the decoded sequence using one or more predetermined heuristics.

    Abstract translation: 可以采用本公开的不同实施例来执行字符序列识别，而不需要明确的字符分割。 根据一些实施例，字符序列识别过程可以包括：通过以下步骤生成包括第一多个像素的第一图像的第一表示的预测字符序列：在第一图像的第一表示上滑动卷积神经网络（CNN）分类器 一次一个像素位置，直到达到第一图像的第一表示的程度; 在每个像素位置记录k个电位输出类别中的每一个的似然值，其中所述k个电位输出类别中的一个包括背景类别; 确定每个像素位置处的最可能的输出类别的序列; 通过从确定的序列中去除相同的连续输出类确定和背景类确定来对序列进行解码; 以及使用一个或多个预定的启发式验证所述解码序列。

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