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    • 1. 发明授权
    • Authenticating user and launching an application on a single intentional user gesture
    • 验证用户并在单个有意的用户手势上启动应用程序
    • US09547762B2
    • 2017-01-17
    • US14673581
    • 2015-03-30
    • Google Inc.
    • Hao LuYang Li
    • G06F7/04G06F21/36G06F3/0488G06F21/32G06K9/00
    • G06F21/36G06F3/0488G06F3/04883G06F21/32G06F2203/04101G06F2203/04104G06K9/00087G06K2209/03H04M1/67
    • Methods, systems, and apparatus, including computer programs encoded on computer storage media, for combining authentication and application shortcut. An example method includes detecting, by a device having a touchscreen, a gesture by a user on the touchscreen while the device is in a sleep mode; classifying the gesture, by the device, as an intentional gesture or an accidental gesture; maintaining the device in the sleep mode if the gesture is classified as an accidental gesture; responsive to determining, by the device, that the gesture matches one or more confirmed gestures stored on the device based at least in part on a set of predefined criteria, if the gesture is classified as an intentional gesture: recognizing the user as authenticated; and without requiring additional user input, selecting an application, from a plurality of different applications, according to the gesture and launching the application on the device.
    • 方法,系统和装置,包括在计算机存储介质上编码的计算机程序,用于组合认证和应用程序快捷方式。 一种示例性方法包括:当设备处于睡眠模式时,由具有触摸屏的设备检测用户在触摸屏上的手势; 通过设备将手势分类为有意的手势或意外手势; 如果手势被分类为意外手势,则将设备保持在睡眠模式; 响应于所述设备确定所述手势至少部分地基于一组预定准则来匹配存储在所述设备上的一个或多个确认的手势,如果所述手势被分类为有意的手势:将所述用户识别为认证; 并且不需要额外的用户输入,根据手势从多个不同的应用中选择应用,并且在设备上启动应用。
    • 2. 发明授权
    • Creating and organizing events in an activity stream
    • 在活动流中创建和组织事件
    • US09223803B2
    • 2015-12-29
    • US14261803
    • 2014-04-25
    • Google Inc.
    • Yang Li
    • G06F17/30G06Q10/10G06Q50/00
    • G06F17/30247G06F17/30047G06Q10/109G06Q50/01
    • A system and method for creating and organizing events includes an activity stream application that captures, searches and collaborates on one or more events. The events include unstructured data comprising text, digital ink, an audio clip and an image. The activity stream application receives user input and generates a new event and combines related events into the same activity. The activity stream application receives a search query and searches for events that are relevant to the search query. In one embodiment, the search query includes contextual information that includes at least one of at a similar time, at a similar location, in a similar situation and a relatedness of event attributes.
    • 用于创建和组织事件的系统和方法包括捕获,搜索和协作一个或多个事件的活动流应用程序。 事件包括包括文本,数字墨迹,音频剪辑和图像的非结构化数据。 活动流应用程序接收用户输入并生成新事件并将相关事件合并到相同的活动中。 活动流应用程序接收搜索查询并搜索与搜索查询相关的事件。 在一个实施例中,搜索查询包括上下文信息,其包括在相似的时间,类似位置,类似情况和事件属性的相关性中的至少一个。
    • 6. 发明申请
    • Enabling Event Prediction as an On-Device Service for Mobile Interaction
    • 启用事件预测作为移动互动的设备上服务
    • US20160019460A1
    • 2016-01-21
    • US14334631
    • 2014-07-17
    • Google Inc.
    • Yang Li
    • G06N5/02G06F17/30G06F9/54
    • G06F17/3053G06F9/542G06N5/02G06N7/005
    • By knowing which upcoming actions a user might perform, a mobile application can optimize a user interface or reduce the amount of user input needed for accomplishing a task. A herein-described prediction module can answer queries from a mobile application regarding which actions in the application the user is likely to perform at a given time. Any application can register and communicate with the prediction module via a straightforward application programing interface (API). The prediction module continuously learns a prediction model for each application based on the application's evolving event history. The prediction module generates predictions by combining multiple predictors with an online learning method, and capturing event patterns not only within but also across registered applications. The prediction module is evaluated using events collected from multiple types of mobile devices.
    • 通过了解用户可能执行哪些即将到来的动作,移动应用可以优化用户界面或减少完成任务所需的用户输入量。 这里描述的预测模块可以应答来自移动应用程序的查询,用于在给定时间用户可能执行的应用中的哪些动作。 任何应用程序都可以通过简单的应用程序编程接口(API)来注册和预测模块进行通信。 预测模块基于应用程序的不断变化的事件历史持续学习每个应用程序的预测模型。 预测模块通过将多个预测因子与在线学习方法相结合来生成预测,并且不仅在注册的应用内捕获事件模式。 使用从多种类型的移动设备收集的事件评估预测模块。