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    CONTEXT-AWARE VOICE GUIDANCE
    31.
    发明申请
    CONTEXT-AWARE VOICE GUIDANCE 有权

    公开(公告)号：US20210152942A1

    公开(公告)日：2021-05-20

    申请号：US17160746

    申请日：2021-01-28

    Applicant: Apple Inc.

    Inventor： Jonathan A. Bennett ,  Stephen O. Lemay ,  Marcel Van Os ,  Scott Forstall ,  Bradford A. Moore ,  Emanuele Vulcano ,  Seejo K. Pylappan

    IPC: H04R5/04 ,  G10L21/00 ,  H04R5/00 ,  G01C21/36 ,  G06F3/16

    Abstract: A context-aware voice guidance method is provided that interacts with other voice services of a user device. The voice guidance does not provide audible guidance while the user is making a verbal request to any of the voice-activated services. Instead, the voice guidance transcribes its output on the screen while the verbal requests from the user are received. In some embodiments, the voice guidance only provides a short warning sound to get the user's attention while the user is speaking on a phone call or another voice-activated service is providing audible response to the user's inquires. The voice guidance in some embodiments distinguishes between music that can be ducked and spoken words, for example from an audiobook, that the user wants to pause instead of being skipped. The voice guidance ducks music but pauses spoken words of an audio book in order to provide voice guidance to the user.

    MOBILE DEVICE WITH PREDICTIVE ROUTING ENGINE
    33.
    发明申请
    MOBILE DEVICE WITH PREDICTIVE ROUTING ENGINE 审中-公开

    公开(公告)号：US20200160223A1

    公开(公告)日：2020-05-21

    申请号：US16747698

    申请日：2020-01-21

    Applicant: Apple Inc.

    Inventor： Christine B. McGavran ,  Bradford A. Moore ,  Gregory D. Bolsinga ,  Michael P. Dal Santo ,  Lukas Marti ,  Seejo K. Pylappan ,  Marcel van Os

    IPC: G06N20/00 ,  H04W4/02 ,  H04L29/08 ,  G06N5/02 ,  G01C21/36

    Abstract: A mobile device with a route prediction engine is provided that can predict current/future destinations or routes to destinations for the user, and can relay prediction information to the user. The engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on user-specific data. The user-specific data includes data about (1) previous destinations traveled, (2) previous routes taken, (3) locations of calendared events, (4) locations of events for which the user has electronic tickets, and/or (5) addresses parsed from e-mails and/or messages. The prediction engine relies on one or more of user-specific data stored on the device and data stored outside of the device by external devices/servers.

    Warning for Frequently Traveled Trips Based on Traffic
    35.
    发明申请
    Warning for Frequently Traveled Trips Based on Traffic 审中-公开

    公开(公告)号：US20170350703A1

    公开(公告)日：2017-12-07

    申请号：US15494163

    申请日：2017-04-21

    Applicant: Apple Inc.

    Inventor： Christine B. McGavran ,  Bradford A. Moore ,  Gregory D. Bolsinga ,  Christopher Blumenberg ,  Seejo K. Pylappan ,  Marcel van Os

    IPC: G01C21/00 ,  G01C21/36 ,  G01C21/34 ,  G06N99/00 ,  G06N5/04

    CPC classification number: G01C21/00 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G01C21/362 ,  G06N5/04 ,  G06N20/00

    Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.

    Night mode
    37.
    发明授权
    Night mode 有权
    夜间模式

    公开(公告)号：US09536325B2

    公开(公告)日：2017-01-03

    申请号：US14056924

    申请日：2013-10-17

    Applicant: Apple Inc.

    Inventor： Cédric Bray ,  Christopher D. Moore ,  Patrick S. Piemonte ,  Emanuele Vulcano ,  Marcel van Os ,  Billy P. Chen ,  Seejo K. Pylappan ,  Justin O'Beirne

    IPC: G06F3/0482 ,  G06T11/00 ,  G01C21/36

    CPC classification number: G06T11/001 ,  G01C21/3632 ,  G01C21/367 ,  G06F3/0482

    Abstract: A device that provides a map and/or navigation application that displays items on the map and/or navigation instructions differently in different modes. The applications of some embodiments provide a day mode and a night mode. In some embodiments the application uses the day mode as a default and activates the night mode when the time is after sunset at the location of the device. Some embodiments activate night mode when multiple conditions are satisfied (for example, when (1) the time is after sunset at the location of the device and (2) the ambient light level is below a threshold brightness).

    Abstract translation: 提供在不同模式下不同地显示地图和/或导航指令上的项目的地图和/或导航应用的设备。 一些实施例的应用提供日模式和夜间模式。 在一些实施例中，应用程序使用日模式作为默认值，并且在设备的位置处的日落之后激活夜间模式。 一些实施例在满足多个条件时激活夜间模式（例如，当（1）在设备的位置处的日落之后的时间和（2）环境光水平低于阈值亮度时）。

    SYSTEM AND METHOD FOR ACQUIRING MAP PORTIONS BASED ON EXPECTED SIGNAL STRENGTH OF ROUTE SEGMENTS
    38.
    发明申请
    SYSTEM AND METHOD FOR ACQUIRING MAP PORTIONS BASED ON EXPECTED SIGNAL STRENGTH OF ROUTE SEGMENTS 审中-公开
    基于路段的预期信号强度获取地图部分的系统和方法

    公开(公告)号：US20160252358A1

    公开(公告)日：2016-09-01

    申请号：US14981711

    申请日：2015-12-28

    Applicant: Apple Inc.

    Inventor： Christopher Blumenberg ,  Seejo K. Pylappan

    IPC: G01C21/32 ,  G01C21/36

    CPC classification number: G01C21/32 ,  G01C21/36 ,  G01C21/367

    Abstract: Embodiments may include determining a navigation route between an origination and a destination; the route may span multiple portions of a map. Embodiments may also include receiving an order of priority in which to receive the multiple portions of the map; the order may be generated based on distinct levels of expected signal strength for each of the multiple portions. For instance, within the order of priority, map portions associated with areas of low signal strength may be ranked higher than areas of higher signal strength. Embodiments may also include acquiring at least some of the portions of the map according to the order of priority, and generating a map display comprising the multiple portions of the map. For instance, map portions associated with areas of poor reception may be downloaded first whereas map portions associated with strong signal strength may be downloaded on-the-fly during route navigation.

    Abstract translation: 实施例可以包括确定发起和目的地之间的导航路线; 路线可以跨越地图的多个部分。 实施例还可以包括接收优先权顺序，其中接收地图的多个部分; 可以基于多个部分中的每一个的期望信号强度的不同级别来生成该顺序。 例如，在优先级顺序中，与低信号强度的区域相关联的映射部分可以被排列为高于较高信号强度的区域。 实施例还可以包括根据优先级顺序获取地图的至少部分部分，以及生成包括地图的多个部分的地图显示。 例如，可以首先下载与接收不良的区域相关联的地图部分，而在路由导航期间可以在飞行中下载与强信号强度相关联的地图部分。

    MOBILE DEVICE WITH PREDICTIVE ROUTING ENGINE
    39.
    发明申请
    MOBILE DEVICE WITH PREDICTIVE ROUTING ENGINE 审中-公开
    具有预测路由引擎的移动设备

    公开(公告)号：US20160212229A1

    公开(公告)日：2016-07-21

    申请号：US15085994

    申请日：2016-03-30

    Applicant: Apple Inc.

    Inventor： Christine B. McGavran ,  Bradford A. Moore ,  Gregory D. Bolsinga ,  Michael P. Dal Santo ,  Lukas Marti ,  Seejo K. Pylappan ,  Marcel van Os

    IPC: H04L29/08 ,  G06N5/02 ,  H04W4/02

    CPC classification number: G06N20/00 ,  G01C21/3617 ,  G06N5/022 ,  H04L67/02 ,  H04L67/10 ,  H04L67/18 ,  H04L67/22 ,  H04W4/025

    Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. The device's prediction engine only relies on user-specific data stored on the device in some embodiments, relies only on user-specific data stored outside of the device by external devices/servers in other embodiments, and relies on user-specific data stored both by the device and by other devices/servers in other embodiments.

    Abstract translation: 本发明的一些实施例为移动设备提供了一种新颖的路由预测引擎，其中（1）可以为设备的用户制定有关当前或未来目的地和/或路由到这些目的地的预测，以及（2）可以向用户转发关于 这些预测。 在一些实施例中，该引擎包括机器学习引擎，其基于存储的用户特定数据有助于预测的未来目的地和/或到目的地的未来路线的制定。 用户特定的数据在不同的实施例中是不同的。 在一些实施例中，所存储的用户特定数据包括关于用户前往的以下（1）先前目的地的任何组合的数据，（2）用户采取的先前路线，（3）用户的日历中的日历事件的位置 日历，（4）用户具有电子票的事件的位置，以及（5）从发送给用户的最近的电子邮件和/或消息中解析的地址。 在一些实施例中，设备的预测引擎仅依赖于存储在设备上的用户特定数据，在其他实施例中仅依赖于外部设备/服务器在设备外部存储的用户特定数据，并且依赖于由 该装置以及其他实施例中的其他设备/服务器。

    Prediction engine
    40.
    发明授权
    Prediction engine 有权
    预测引擎

    公开(公告)号：US09303997B2

    公开(公告)日：2016-04-05

    申请号：US14081895

    申请日：2013-11-15

    Applicant: Apple Inc.

    Inventor： Christine B. McGavran ,  Bradford A. Moore ,  Gregory D. Bolsinga ,  Michael P. Dal Santo ,  Lukas Marti ,  Seejo K. Pylappan ,  Marcel van Os

    IPC: B60G17/018 ,  B60G23/00 ,  B62C3/00 ,  B62K25/00 ,  G06F7/00 ,  G06F19/00 ,  G06F17/00 ,  G01C21/00 ,  G06N5/04 ,  G06N99/00 ,  G01C21/34 ,  G01C21/36

    CPC classification number: G01C21/00 ,  G01C21/3484 ,  G01C21/3492 ,  G01C21/3617 ,  G01C21/362 ,  G06N5/04 ,  G06N99/005

    Abstract: Some embodiments of the invention provide a novel prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for a user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following: (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user. In some embodiments, the prediction engine only relies on user-specific data stored on the device on which this engine executes. Alternatively, in other embodiments, it relies only on user-specific data stored outside of the device by external devices/servers. In still other embodiments, the prediction engine relies on user-specific data stored both by the device and by other devices/servers.

    Abstract translation: 本发明的一些实施例提供了一种新颖的预测引擎，其（1）可以为用户制定关于当前或将来的目的地和/或路由到这些目的地的预测，以及（2）可以向用户传递关于这些预测的信息。 在一些实施例中，该引擎包括机器学习引擎，其基于存储的用户特定数据有助于预测的未来目的地和/或到目的地的未来路线的制定。 用户特定的数据在不同的实施例中是不同的。 在一些实施例中，所存储的用户特定数据包括关于以下任何组合的数据：（1）用户旅行的先前目的地，（2）用户采取的先前路由，（3）日历中的日历事件的位置 用户日历，（4）用户具有电子票的事件的位置，以及（5）从发送给用户的最近的电子邮件和/或消息中解析的地址。 在一些实施例中，预测引擎仅依赖于存储在该引擎执行的设备上的用户特定数据。 或者，在其他实施例中，它仅依赖于外部设备/服务器在设备外部存储的用户特定数据。 在其他实施例中，预测引擎依赖于由设备和其他设备/服务器存储的用户特定数据。

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