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    AUTOMATED ENVIRONMENT PROVIDING FEEDBACK BASED ON USER ROUTINE
    61.
    发明申请
    AUTOMATED ENVIRONMENT PROVIDING FEEDBACK BASED ON USER ROUTINE 审中-公开

    公开(公告)号：US20200301499A1

    公开(公告)日：2020-09-24

    申请号：US16894583

    申请日：2020-06-05

    Applicant: Apple Inc.

    Inventor： Lukas M. Marti ,  Ronald Keryuan Huang

    IPC: G06F3/01

    Abstract: A device in an automated environment can detect patterns in the user's interactions with accessories in the automated environment and can provide feedback to the user based on the patterns. Examples include: suggesting automation of particular actions based on the patterns; suggesting actions that conform to the pattern when the user performs part of the pattern; or suggesting changes to a pattern to conform to a preferred pattern. A state of the group of accessory devices can be changed together based on the pattern of accessory state changes for the group of accessory devices.

    Determining a significant user location for providing location-based services
    63.
    发明授权
    Determining a significant user location for providing location-based services 有权

    公开(公告)号：US10362440B2

    公开(公告)日：2019-07-23

    申请号：US15475725

    申请日：2017-03-31

    Applicant: Apple Inc.

    Inventor： Michael P. Dal Santo ,  Lukas M. Marti ,  Ronald K Huang ,  Lili Cao

    IPC: H04W4/02 ,  H04W4/021 ,  G06F9/54 ,  H04L29/08 ,  H04M1/725 ,  G06Q10/10 ,  H04W4/04 ,  H04W4/029 ,  H04W4/30

    Abstract: Systems, methods, and program products for providing services to a user by a mobile device based on the user's daily routine of movement. The mobile device determines whether a location cluster indicates a significant location for the user based on one or more hints that indicate an interest of the user in locations in the cluster. The mobile device can perform adaptive clustering to determine a size of area of the significant location based on how multiple locations converge in the location cluster. The mobile device can provide location-based services for calendar items, including predicting a time of arrival at an estimated location of a calendar item. The mobile device can provide various services related to a location of the mobile device or a significant location of the user through an application programming interface (API).

    Venue-based real-time crowd modeling and forecasting
    64.
    发明授权
    Venue-based real-time crowd modeling and forecasting 有权

    公开(公告)号：US10318670B2

    公开(公告)日：2019-06-11

    申请号：US15245017

    申请日：2016-08-23

    Applicant: APPLE INC.

    Inventor： Lukas M. Marti

    IPC: G06F17/50

    Abstract: Crowds of people within an environment can be modeled in real time. A multitude of mobile devices located within an environment can periodically transmit their geographical locations over networks to a remote server. The remote server can use these geographical locations to generate a current real-time model of a crowd of people who possess the mobile devices that transmitted the geographical locations. The remote server can transmit the model over networks back to the mobile devices. The mobile devices can use the received model to present useful information to the users of those mobile devices.

    Discrete location classification
    65.
    发明授权
    Discrete location classification 有权

    公开(公告)号：US10117046B2

    公开(公告)日：2018-10-30

    申请号：US15272394

    申请日：2016-09-21

    Applicant: Apple Inc.

    Inventor： Brent M. Ledvina ,  Robert W. Mayor ,  Lukas M. Marti ,  David R. Stites ,  Jahshan A. Bhatti ,  Kevin Duffy

    IPC: H04W4/02 ,  H04W24/08 ,  H04W8/00 ,  G06F17/30 ,  H04B17/318

    Abstract: A method for identifying a location of a mobile device is disclosed. The method includes during each of a plurality of instances of time: measuring one or more signal properties of one or more other devices across a time interval; obtaining an identifier from each of the one or more other devices; creating a data point to include the one or more signal properties; and storing the data point in a database. The method further includes analyzing the plurality data points in the database to determine clusters of data points; detecting an event at an input device of the mobile device; measuring one or more new signal properties of one or more of the plurality of other devices at one or more new times; creating a new data point from the one or more new signal properties; and identifying a first cluster corresponding to the new data point.

    Range-Free Proximity Determination
    66.
    发明申请
    Range-Free Proximity Determination 审中-公开

    公开(公告)号：US20180167771A1

    公开(公告)日：2018-06-14

    申请号：US15891453

    申请日：2018-02-08

    Applicant: Apple Inc.

    Inventor： Pejman Lotfali Kazemi ,  Lukas M. Marti ,  Robert Mayor ,  Shannon M. Ma ,  Ronald K. Huang

    IPC: H04W4/021 ,  G01S5/02 ,  H04W64/00

    CPC classification number: H04W4/022 ,  G01S5/02 ,  G01S5/0252 ,  H04W64/006

    Abstract: Techniques of range free proximity determination are described. A mobile device can determine an entry into or exit from a proximity fence upon determining that the mobile device is sufficiently close to a signal source. The proximity fence can be a virtual fence defined by the signal source and associated with a service. The mobile device can detect signals from multiple signal sources. The mobile device can determine that, among the signal sources, one or more signal sources are located closest to the mobile device based on a ranking of the signal sources using signal strength. The mobile device can determine a probability indicating a confident level of the ranking. The mobile device can determine that the mobile device entered or exited a proximity fence associated with a highest ranked signal source satisfying a confidence threshold.

    CATEGORY-BASED FENCE
    68.
    发明申请
    CATEGORY-BASED FENCE 审中-公开

    公开(公告)号：US20180124231A1

    公开(公告)日：2018-05-03

    申请号：US15852431

    申请日：2017-12-22

    Applicant: Apple Inc.

    Inventor： Lukas M. Marti ,  Shannon M. Ma

    IPC: H04M1/725 ,  H04W4/06 ,  H04W4/021 ,  H04W4/00

    CPC classification number: H04M1/72572 ,  G06F8/00 ,  G06F9/445 ,  G06F9/4843 ,  H04W4/021 ,  H04W4/043 ,  H04W4/06 ,  H04W4/33 ,  H04W4/50 ,  H04W4/80 ,  H04W24/02 ,  Y02D10/43

    Abstract: Techniques of category-based fence are described. A category-based fence can correspond to a group of signal sources instead of a point location fixed to latitude and longitude coordinates. The group of signal sources can represent a category of entities, e.g., a particular business chain. The signal sources can be distributed to multiple discrete locations. A category-based fence associated with the group, accordingly, can correspond to multiple locations instead of a single point location and a radius. Each signal source in the group can be associated with a category identifier unique to the group and uniform among signal sources in the group. The category identifier can be programmed into each signal source. A mobile device can enter the category-based fence by entering any of the discrete locations when the mobile device detects the signal identifier. The mobile device can then execute an application program associated with the category-based fence.

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