SENSOR DEVICE FOR ANOMALY DETECTION THROUGH MACHINE LEARNING AND RELATED CONTROL METHOD

    公开(公告)号:US20250076864A1

    公开(公告)日:2025-03-06

    申请号:US18799307

    申请日:2024-08-09

    Abstract: Sensor device with a microcontroller unit and a sensor including a transducer, which is coupleable to a device and generates a signal indicative of a physical quantity, and a processing circuit including: a conversion stage which generates samples of the physical quantity; a data generation stage which generates data vectors as a function of the samples, each data vector being formed by programmable quantity values; and a decision stage. The microcontroller unit programs the decision stage so that it classifies the data vectors by executing a decision tree having a structure and thresholds. In a configuration mode, the microcontroller unit programs the data generation stage; in a calibration mode, the microcontroller unit acquires a corresponding set of data vectors, determines, for each programmable quantity, a corresponding range of admissible values and programs the thresholds as a function of the ranges of admissible values; in a detection mode, the decision stage classifies the data vectors, by executing the decision tree on the basis of the programmed thresholds.

    SENSOR UNIT WITH ON-DEVICE LEARNING AND ANOMALY DETECTION

    公开(公告)号:US20240255386A1

    公开(公告)日:2024-08-01

    申请号:US18161674

    申请日:2023-01-30

    CPC classification number: G01M99/005 G06N20/00

    Abstract: A sensor unit is coupled to a machine and configured to detect anomalous behavior of the machine. The sensor unit includes a low power microcontroller that learns to recognize a plurality of operations of the machine. The sensor unit generates mean vector and inverse of a Cholesky decomposition matrix for each operation. During a detection mode the sensor unit computes a Mahalanobis distance for each feature vector, mean vector and first matrix. The sensor unit detects anomalous behavior or classifies the operation of the machine based on the Mahalanobis distances.

    IN-SENSOR FALL DETECTION
    5.
    发明公开

    公开(公告)号:US20240331522A1

    公开(公告)日:2024-10-03

    申请号:US18191782

    申请日:2023-03-28

    CPC classification number: G08B21/0446 G08B21/043 G08B29/188

    Abstract: The present disclosure is directed to a device and method for human fall detection solution. Fall detection is performed by a low power inertial measurement unit (IMU) that is communicatively coupled between a pressure sensor and an application processor. The IMU includes one or more motions sensors, such as an accelerometer and gyroscope. The application processor is the main processor of the containing device. The IMU receives pressure sensor data from the pressure sensor, and executes the fall detection using both the pressure sensor data and accelerometer data.

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