DETECTING CONDITIONS FOR TARGET WAKE TIME PARAMETER ADJUSTMENT

    公开(公告)号:US20230232324A1

    公开(公告)日:2023-07-20

    申请号:US18147650

    申请日:2022-12-28

    CPC classification number: H04W52/0216

    Abstract: Methods and apparatuses for detecting conditions associated with a target wake time (TWT) parameter adjustment. A communication device comprises a transceiver and a processor operably coupled to the transceiver. The transceiver is configured to receive information including packets associated with a TWT. The processor is configured to determine a network service type based on the packets, and when the determined network service type is a real-time service type: determine whether a condition associated with the TWT is satisfied, and modify the TWT based on the condition.

    Adaptive thresholding and noise reduction for radar data

    公开(公告)号:US11567580B2

    公开(公告)日:2023-01-31

    申请号:US17158794

    申请日:2021-01-26

    Abstract: An electronic device for gesture recognition, includes a processor operably connected to a transceiver. The transceiver is configured to transmit and receive signals for measuring range and speed. The processor is configured to transmit the signals, via the transceiver. in response to a determination that a triggering event occurred, the processor is configured to track movement of an object relative to the electronic device within a region of interest based on reflections of the signals received by the transceiver to identify range measurements and speed measurements associated with the object. The processor is also configured to identify features from the reflected signals, based on at least one of the range measurements and the speed measurements. The processor is further configured to identify a gesture based in part on the features from the reflected signals. Additionally, the processor is configured to perform an action indicated by the gesture.

    Method and apparatus for biometric authentication using face radar signal

    公开(公告)号:US11550031B2

    公开(公告)日:2023-01-10

    申请号:US16687367

    申请日:2019-11-18

    Abstract: An electronic device, a method, and computer readable medium are disclosed. The method includes transmitting radar signals via a radar transceiver. The method also includes identifying signals of interest that represent biometric information of a user based on reflections of the radar signals received by the radar transceiver. The method further includes generating an input based on the signals of interest that include the biometric information. The method additionally includes extracting a feature vector based on the input. The method also includes authenticating the user based on comparison of the feature vector to a threshold of similarity with preregistered user data.

    PRIORITIZATION OF NETWORK CONNECTIONS THROUGH ADVANCED TRAFFIC CATEGORIZATION

    公开(公告)号:US20250047611A1

    公开(公告)日:2025-02-06

    申请号:US18771799

    申请日:2024-07-12

    Abstract: An embodiment includes a network connected device comprising a transceiver configured to receive network traffic from the network, a memory coupled to the transceiver, a processor coupled to the memory and the transceiver, the processor configured to: decompose the network traffic into a plurality of data flows based on source information and destination information, store the plurality of data flows in a traffic map, each entry of the traffic map includes a data flow identification and traffic information of the data flow in an observation time window, determine a service type for each of the data flows using machine learning; and prioritize a first data flow over a second data flow in the plurality of data flows based on the service type.

    3D angle of arrival capability in electronic devices with adaptability via memory augmentation

    公开(公告)号:US11841447B2

    公开(公告)日:2023-12-12

    申请号:US17559872

    申请日:2021-12-22

    CPC classification number: G01S3/043 G01S3/22 G01S3/48 G01S3/50 G06N3/044

    Abstract: A method includes obtaining signal information based on wireless signals received from a target electronic device via a first antenna pair and a second antenna pair. The first and second antenna pairs are aligned along different axes. The signal information includes channel information, range information, a first angle of arrival (AoA) based on the first antenna pair, and a second AoA based on the second antenna pair. The method also includes obtaining tagging information that identifies an environment in which the electronic device is located. The method also includes generating encoded information from a memory module based on the tagging information. The method further includes initializing a field of view (FoV) classifier based on the encoded information. Additionally, the method includes determining whether the target electronic device is in a FoV of the electronic device based on the FoV classifier operating on the signal information.

    DYNAMIC GESTURE RECOGNITION USING MMWAVE RADAR

    公开(公告)号:US20230333660A1

    公开(公告)日:2023-10-19

    申请号:US18063055

    申请日:2022-12-07

    CPC classification number: G06F3/017 G06V40/20 G06V10/454 G01S13/88

    Abstract: A method for end-to-end dynamic gesture recognition using mmWave radar is provided. The method includes triggering an electronic device to activate a gesture recognition mode in response to detecting that a condition for activating the gesture recognition mode is satisfied. The method includes obtaining radar data while the gesture recognition mode is activated, wherein the radar data includes time-velocity data (TVD). The method includes detecting a start and an end of a gesture based on the TVD of the obtained radar data. To classify the gesture, the method includes determining a gesture, from among a set of gesture, that corresponds to a portion of the TVD between the start and the end of the gesture. The method includes outputting an event indicator indicating that a user of the electronic device performed the gesture classified.

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