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    MOVEMENT PATH DETECTION FOR ANOMALIES AND PATTERNS FROM SENSORS IN A HOME OR OTHER ENVIRONMENT
    2.
    发明公开
    MOVEMENT PATH DETECTION FOR ANOMALIES AND PATTERNS FROM SENSORS IN A HOME OR OTHER ENVIRONMENT 审中-公开

    公开(公告)号：US20230208672A1

    公开(公告)日：2023-06-29

    申请号：US18117639

    申请日：2023-03-06

    申请人： Google LLC

    发明人： Marci Meingast ,  Adam Cutbill

    IPC分类号： H04L12/28 ,  H04L41/12 ,  H04L67/12 ,  H04L67/50

    CPC分类号： H04L12/282 ,  H04L41/12 ,  H04L67/12 ,  H04L67/535 ,  H04W84/18

    摘要： A method for detecting a movement path in a monitored environment generates a first movement path record by collecting first node information for each of a first series of nodes including at least one of a sensor ID or a device ID, and a trigger time. The method further determines a first movement path total duration time from a difference between a time of the ending node and a time of the starting node of the first series of nodes. The method further stores the first movement path record and subsequently compares a second movement path record with the first movement path record by comparing the first node information with second node information for each of a second series of nodes of the second movement path record, and the first movement path total duration time with a second movement path total duration time. The method determines a similarity value between the second movement path record and the first movement path record based on the comparison and detects a movement path based on the determined similarity value.

    Automation and recommendation based on device control protocols
    4.
    发明授权
    Automation and recommendation based on device control protocols 有权

    公开(公告)号：US11503372B2

    公开(公告)日：2022-11-15

    申请号：US16903606

    申请日：2020-06-17

    申请人： Google LLC

    发明人： Kenneth Mixter ,  Marci Meingast ,  Jennifer Yick

    IPC分类号： H04N21/466 ,  H04N21/482 ,  H04N21/45 ,  H04N21/436 ,  H04N21/4363

    摘要： Systems and techniques are provided for automation and recommendation based on device control protocols. HDMI-CEC device control data may be received from a connected electronic device that may be connected to an electronic display device. The HDMI-CEC device control data may be based on a HDMI-CEC device control signal from the electronic display device. Signals may be received from sensor devices located in a same structure as the electronic display device. The HDMI-CEC device control data and signals from the sensor devices may be input to the machine learning system. The machine learning system may generate a control signal for a device. The control signal may be sent to the device to be implemented by the device.

    DETERMINATION OF USER PRESENCE AND ABSENCE USING WIFI CONNECTIONS
    6.
    发明公开
    DETERMINATION OF USER PRESENCE AND ABSENCE USING WIFI CONNECTIONS 审中-公开

    公开(公告)号：US20240031847A1

    公开(公告)日：2024-01-25

    申请号：US18480101

    申请日：2023-10-03

    申请人： Google LLC

    发明人： Marci Meingast ,  Andrew Axley ,  Daniele Midi

    IPC分类号： H04W24/08 ,  G06N20/00

    CPC分类号： H04W24/08 ,  G06N20/00 ,  H04W84/12

    摘要： Systems and techniques are provided for determination of user presence and absence using WiFi connections. Reports may be received from WiFi access points in an environment. The reports may include an identifier of a WiFi device, an indication of a connection to or disconnection from a WiFi access point, a time of the connection or disconnection, and an identifier of the WiFi access point. A connection sequence for the WiFi device may be generated from the reports. Whether the WiFi device is present in or absent from the environment as of a specified time may be determined based on the connection sequence. An indication of presence for a user associated with the WiFi device may generated if the WiFi device is present in the environment. An indication of absence for the user associated with the WiFi device may be generated if the WiFi device is absent from the environment.

    Anomalous path detection within cameras' fields of view
    7.
    发明授权
    Anomalous path detection within cameras' fields of view 有权

    公开(公告)号：US11748993B2

    公开(公告)日：2023-09-05

    申请号：US17872940

    申请日：2022-07-25

    申请人： Google LLC

    发明人： Marci Meingast

    IPC分类号： G06V20/52 ,  G06V40/20 ,  G06F18/214

    CPC分类号： G06V20/52 ,  G06F18/2148 ,  G06V40/23

    摘要： Systems and techniques are provided for anomalous path detection within cameras' fields of view. Video of the field of view of a camera in an environment may be received from the camera. A person may be detected in the video. Motion of the person in the video may be tracked to generate a motion path. Contextual data for the motion path may be received. The motion path and contextual data may be stored in a camera training data set. A camera model for the camera and the field of view may be generated by inputting the camera training data set to a machine learning system. The camera model for the camera and the field of view may be stored.

    Movement path detection for anomalies and patterns from sensors in a home or other environment
    8.
    发明授权
    Movement path detection for anomalies and patterns from sensors in a home or other environment 有权

    公开(公告)号：US11611451B1

    公开(公告)日：2023-03-21

    申请号：US16894014

    申请日：2020-06-05

    申请人： GOOGLE LLC

    发明人： Marci Meingast ,  Adam Cutbill

    IPC分类号： H04L12/28 ,  H04L41/12 ,  H04L67/12 ,  H04L67/50 ,  H04W84/18 ,  H04W88/08

    摘要： A method for detecting a movement path in a monitored environment generates a first movement path record by collecting first node information for each of a first series of nodes including at least one of a sensor ID or a device ID, and a trigger time. The method further determines a first movement path total duration time from a difference between a time of the ending node and a time of the starting node of the first series of nodes. The method further stores the first movement path record and subsequently compares a second movement path record with the first movement path record by comparing the first node information with second node information for each of a second series of nodes of the second movement path record, and the first movement path total duration time with a second movement path total duration time. The method determines a similarity value between the second movement path record and the first movement path record based on the comparison and detects a movement path based on the determined similarity value.

    RADAR-BASED LOCALIZATION FROM INTERFERENCE
    9.
    发明申请
    RADAR-BASED LOCALIZATION FROM INTERFERENCE 有权

    公开(公告)号：US20220113401A1

    公开(公告)日：2022-04-14

    申请号：US17500605

    申请日：2021-10-13

    申请人： GOOGLE LLC

    发明人： Andrew Larsen Axley ,  Eric Michael Monsler ,  Marci Meingast

    IPC分类号： G01S13/88 ,  G01S13/56 ,  G01S7/00 ,  G01S7/02

    摘要： A radar-enabled device that manages radar interference. In particular, the radar-enabled device detects a radar signal transmitted by a second radar-enabled device, transmits a notification of the detected radar signal, receives localization information associated with the second radar-enabled device, and sets a device location based on the received localization information. Additionally, the radar-enabled device may adjust a timing of radar signal transmissions to avoid subsequent detections of radar signals transmitted by the second radar-enabled device.

    Determining arrival and departure latency for WiFi devices in an environment
    10.
    发明授权
    Determining arrival and departure latency for WiFi devices in an environment 有权

    公开(公告)号：US11092682B1

    公开(公告)日：2021-08-17

    申请号：US16864040

    申请日：2020-04-30

    申请人： GOOGLE LLC

    发明人： Marci Meingast ,  Andrew Axley ,  Daniele Midi

    IPC分类号： G01S11/02 ,  G01S5/02 ,  H04B17/27 ,  H04W76/11

    摘要： Systems and techniques are provided for determining arrival and departure latency for WiFi devices. Reports may be received from WiFi access points in an environment. The reports include an indication of a connection to or disconnection from one of the WiFi access points, a time of the connection or disconnection, and an identifier of the one of the WiFi access points. Data including connect times and disconnect times may be generated from the reports. Sensor and device data may be received from one or more sensors or devices in the environment. Data indicating a length of an arrival latency and a length of a departure latency for the environment may be generated with a machine learning system, where the data including connect times and disconnect times and the sensor and device data is input to the machine learning system.