Presence detection using compressive sampling

    公开(公告)号:US12298831B2

    公开(公告)日:2025-05-13

    申请号:US18339629

    申请日:2023-06-22

    Inventor: Diyan Teng

    Abstract: In some aspects, a device may obtain a signal of a vibration sensor. The device may perform compressive sampling of the signal by combining each set of data points, of a plurality of sets of data points of the signal, with a compressive sampling matrix to obtain a plurality of compressive measurements of the signal. The device may determine whether the plurality of compressive measurements are indicative of a person present in a vicinity of the device. The device may cause the device to exit a low-power mode responsive to a determination that the plurality of compressive measurements are indicative of the person present in the vicinity of the device. Numerous other aspects are described.

    Visual content verification in extended and augmented reality

    公开(公告)号:US12039671B2

    公开(公告)日:2024-07-16

    申请号:US17814090

    申请日:2022-07-21

    CPC classification number: G06T19/003 G06F21/554 G06T19/006 G06V20/20

    Abstract: Systems and methods for detecting an unauthorized virtual object in a mobile device are disclosed. In an aspect, a mobile device may receive an image from a camera. The mobile device may detect a virtual object displayed on a display of a mobile device included in the image. The mobile device may receive data from an inertial measurement unit (IMU) after a movement of the mobile device. The mobile device may determine an estimated new position of the virtual object based on the data received from the IMU. The mobile device may determine an actual position of the virtual object after receiving the data from the IMU. The mobile device may determine a difference between the estimated new position and the actual position of the virtual object. The mobile device may determine whether the virtual object is the unauthorized virtual object based on the difference.

    Persistent two-stage activity recognition

    公开(公告)号:US11927601B2

    公开(公告)日:2024-03-12

    申请号:US17463451

    申请日:2021-08-31

    CPC classification number: G01P13/00

    Abstract: A method for energy-efficient state change detection and classification of streaming sequential data includes receiving via a first prediction model, sequential data from a sensor. The first prediction model determines a change in an activity state based on the sequential data. An indication that the activity state has changed is transmitted to a second prediction. The second prediction model determines an updated activity state based on the sequential data. The updated activity state is sent to the first prediction model, after which the second prediction enters an inactive state.

    Using sensor statistics for player authentication

    公开(公告)号:US11090564B1

    公开(公告)日:2021-08-17

    申请号:US16793963

    申请日:2020-02-18

    Abstract: Methods, systems, and devices for using sensor statistics for player authentication are described. A device or system (e.g., a video game, an electronic sports (Esports) system, a gaming console, etc.) may utilize sensors to authenticate a player (e.g., a user) to an account during gameplay (e.g., in real-time during gameplay). Users may be authenticated by matching sensed gameplay attributes (e.g., indicators, reflex time, sensed patterns, eye motion, heart rate, tremors, frequency of operation, periodicity, spiky behavior, eye concentration, etc.) to the account. For example, collected sensor data may be compared to the account's history or past sensor data, or may be compared to similar ranked players' sensor data, for authentication. The device or system may further use additional data including robot (e.g., BOT) gameplay data, sensor data collected from other players of different (e.g., higher) rank, etc. to identify when collected sensor data may be associated with inauthentic gameplay.

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