Generating suggestions for scenes and triggers

    公开(公告)号:US10715399B2

    公开(公告)日:2020-07-14

    申请号:US15275342

    申请日:2016-09-24

    Applicant: Apple Inc.

    Abstract: In some implementations, a user device can automatically generate scene suggestions and/or trigger suggestions. For example, a scene can be a collection of accessories and corresponding accessory states. When the scene is invoked, the user device can cause the accessories associated with the scene to assume the corresponding accessory states. The user device can automatically determine the accessories and/or corresponding accessory states for a scene based on historical patterns of use represented in historical accessory state data. The user device can automatically determine triggers for automatically invoking scenes based on historical patterns of use. For example, the user device can analyze historical context (e.g., location, time, accessory state, etc.) data associated with accessory state transitions to determine triggers for automatically invoking a scene. The user device can present suggest scenes and/or triggers to the user of the user device.

    UNSUPERVISED ANOMALY DETECTION
    5.
    发明申请

    公开(公告)号:US20190243743A1

    公开(公告)日:2019-08-08

    申请号:US15968684

    申请日:2018-05-01

    Applicant: Apple Inc.

    CPC classification number: G06F11/3612 G06F16/2365 G06N3/0445 G06N3/0472

    Abstract: The subject technology extracts features from each log line of a log file. The subject technology determines, based on the features, a sequence of log lines. The subject technology determines probabilities of log lines occurring within a window of time from a respective log line from the sequence of log lines, and determines probabilities of periods of time within the window of time that a next log line will occur after the respective log line. The subject technology segments log lines from the log file into sequences of log lines based on the probabilities of the set of log lines occurring within the window of time and the probabilities of periods of time that the next log line occurs after the respective log line. The subject technology determines a predicted subsequent log line, and detects an anomaly when an actual subsequent log line differs from the predicted subsequent log line.

    Anomaly detection by resident device

    公开(公告)号:US10938593B2

    公开(公告)日:2021-03-02

    申请号:US15275344

    申请日:2016-09-24

    Applicant: Apple Inc.

    Abstract: In some implementations, a user device (or resident device) can notify the user of anomalous accessory states. For example, the user device can determine which accessory states and contexts represent normal accessory states in the respective contexts. Similarly to scene suggestions, the user device can analyze historical accessory state data and context data to determine an accessory state pattern that indicates a normal state of an accessory for a given context. The user device can compare the current state and/or context of an accessory to historical accessory state data to determine when the current state of the accessory is abnormal for the current context. If the current accessory state is abnormal for the current context, the user device can present a notification to the user informing the user of the anomalous accessory state.

    Generating suggestions for scenes and triggers by resident device

    公开(公告)号:US10469281B2

    公开(公告)日:2019-11-05

    申请号:US15275343

    申请日:2016-09-24

    Applicant: Apple Inc.

    Abstract: In some implementations, a resident device can automatically generate scene suggestions and/or trigger suggestions based on historical data aggregated from multiple user devices. For example, a resident device can be a user device that is (e.g., mostly) kept in the home environment. Therefore, the resident device is able to collect accessory state and/or context data when another user device may not be connected to the accessories in the home environment. Moreover, the resident device can collect and/or aggregate accessory state data, context data, and user device state data from across multiple user devices. The resident device can automatically determine the accessories and/or corresponding accessory states for a scene and/or scene triggers based on historical patterns of use represented in the aggregated historical accessory state data. The user device can present suggest scenes and/or triggers to the user of the user device.

    Generating Suggestions For Scenes And Triggers

    公开(公告)号:US20180091381A1

    公开(公告)日:2018-03-29

    申请号:US15275342

    申请日:2016-09-24

    Applicant: Apple Inc.

    Abstract: In some implementations, a user device can automatically generate scene suggestions and/or trigger suggestions. For example, a scene can be a collection of accessories and corresponding accessory states. When the scene is invoked, the user device can cause the accessories associated with the scene to assume the corresponding accessory states. The user device can automatically determine the accessories and/or corresponding accessory states for a scene based on historical patterns of use represented in historical accessory state data. The user device can automatically determine triggers for automatically invoking scenes based on historical patterns of use. For example, the user device can analyze historical context (e.g., location, time, accessory state, etc.) data associated with accessory state transitions to determine triggers for automatically invoking a scene. The user device can present suggest scenes and/or triggers to the user of the user device.

    Anomaly Detection By Resident Device
    10.
    发明申请

    公开(公告)号:US20180091327A1

    公开(公告)日:2018-03-29

    申请号:US15275344

    申请日:2016-09-24

    Applicant: Apple Inc.

    Abstract: In some implementations, a user device (or resident device) can notify the user of anomalous accessory states. For example, the user device can determine which accessory states and contexts represent normal accessory states in the respective contexts. Similarly to scene suggestions, the user device can analyze historical accessory state data and context data to determine an accessory state pattern that indicates a normal state of an accessory for a given context. The user device can compare the current state and/or context of an accessory to historical accessory state data to determine when the current state of the accessory is abnormal for the current context. If the current accessory state is abnormal for the current context, the user device can present a notification to the user informing the user of the anomalous accessory state.

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