Monitoring activity using Wi-Fi motion detection

    公开(公告)号:US11864061B2

    公开(公告)日:2024-01-02

    申请号:US18075208

    申请日:2022-12-05

    CPC classification number: H04W4/029 H04W84/12

    Abstract: Systems and methods for tracking activities of daily living (ADL) of a user are provided. The method monitors data from one or more internet of things (IoT) devices corresponding to one or more ADLs. The method further monitors data from an activity identification module. The data received is related to an ADL and includes one or more steps specific to the ADL. The data related to the ADL is stored in an activity logging database located in a memory and compared to an activity best practices (BP) database. A score that represents a compliance level is calculated based on the compared data. A response that corresponds the compliance level from a response database is executed.

    System and methods for smart intrusion detection using wireless signals and artificial intelligence

    公开(公告)号:US11842613B2

    公开(公告)日:2023-12-12

    申请号:US17347754

    申请日:2021-06-15

    CPC classification number: G08B13/2491 B60R25/31 G08B25/08 G08B25/008

    Abstract: An intelligent entrance detection system is provided where, primarily, any authorized or unauthorized entry to an area of a residential (or small industrial) unit covered by a wireless network is automatically detected from active off-the-shelf devices in that area. After the detection, an identification algorithm is employed to verify if this entry is a legal or illegal action. Based on this verification, either the routine smart home system is activated or a hazardous monitoring period begins to further investigate the suspicious event. If the illegal entrance is confirmed during the hazardous monitoring period, the owner of the property is informed through an intruder alarm protocol. In this invention, all of the analytic and processing steps, including entrance detection, owner identification, and device-free authority verification are designed based on monitoring and quantification of changes in surrounding wireless signals originated by human or object movements within the sensing area.

    MONITORING ACTIVITY USING WI-FI MOTION DETECTION

    公开(公告)号:US20230171564A1

    公开(公告)日:2023-06-01

    申请号:US18075208

    申请日:2022-12-05

    CPC classification number: H04W4/029 H04W84/12

    Abstract: Systems and methods for tracking activities of daily living (ADL) of a user are provided. The method monitors data from one or more internet of things (IoT) devices corresponding to one or more ADLs. The method further monitors data from an activity identification module. The data received is related to an ADL and includes one or more steps specific to the ADL. The data related to the ADL is stored in an activity logging database located in a memory and compared to an activity best practices (BP) database. A score that represents a compliance level is calculated based on the compared data. A response that corresponds the compliance level from a response database is executed.

    Smart media display
    9.
    发明授权

    公开(公告)号:US11218769B2

    公开(公告)日:2022-01-04

    申请号:US16796662

    申请日:2020-02-20

    Abstract: A method of utilizing Wi-Fi based passive motion detection to deliver targeted advertising through a smart TV is provided. The system uses an agent in connection with the wireless access point that the Smart TV uses to access the internet to make motion determinations. The CSI data of the access point is analyzed to identify if a user is present, if the user is stationary, the previous location of the user, and the activity the user is currently engaged in. An advertisement may be selected based on a last visited location and activity. Such advertisements may further be delivered to more engaged viewers when the advertiser pays a higher rate.

    HANDLING CONCEPT DRIFT IN WI-FI-BASED LOCALIZATION

    公开(公告)号:US20210352441A1

    公开(公告)日:2021-11-11

    申请号:US17383654

    申请日:2021-07-23

    Abstract: Systems and methods are provided for human activity analysis and localization using channel state information (CSI). A streamlined data processing and feature extraction approach that addresses concept drifts for time series data is provided. Data obtained from CSI or any other mechanism is used to estimate the wireless channel between two different wireless nodes (e.g., an access point (AP) and an associated station (STA)), and can be used to train a robust system capable of performing room level localization. A phase and magnitude augmented feature space along with a standardization technique that is little affected by drifts is also used.

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