ENHANCED HUMAN ACTIVITY RECOGNITION

    公开(公告)号:US20230075382A1

    公开(公告)日:2023-03-09

    申请号:US17459781

    申请日:2021-08-27

    Abstract: The present disclosure is directed to a device with enhanced human activity recognition. The device detects a human activity using one more motion sensors, and enhances the detected human activity depending on whether the device is in an indoor environment or an outdoor environment. The device utilizes one or more electrostatic charge sensors to determine whether the device is in an indoor environment or an outdoor environment.

    ACTIVITY RECOGNITION METHOD WITH AUTOMATIC TRAINING BASED ON INERTIAL SENSORS

    公开(公告)号:US20200167559A1

    公开(公告)日:2020-05-28

    申请号:US16203275

    申请日:2018-11-28

    Abstract: Technological advancements are disclosed that utilize inertial sensor data associated with a device to determine a new feature array and if the new feature array is within an existing class within a state space associated with the inertial sensor data. In response to the new feature array being included in the existing class, the new feature array is added to the existing class and a representation of the existing class in the state space is updated based on the new feature array and an existing representation of the existing class. In response to the new feature array not being included in the existing class, a new class is created based on the new feature array.

    ENHANCED HUMAN ACTIVITY RECOGNITION

    公开(公告)号:US20230071636A1

    公开(公告)日:2023-03-09

    申请号:US17720156

    申请日:2022-04-13

    Abstract: The present disclosure is directed to a device with enhanced human activity recognition. The device detects a human activity using one more motion sensors, and enhances the detected human activity depending on whether the device is in an indoor environment or an outdoor environment. The device utilizes one or more electrostatic charge sensors to determine whether the device is in an indoor environment or an outdoor environment. The device may also exclude gyroscope data when performing human activity recognition, and instead utilize electrostatic charge variation data in conjunction with acceleration data to perform human activity recognition.

    ELECTRONIC APPARATUS CONTROL METHOD PERFORMED THROUGH LID ANGLE CALCULATION, ELECTRONIC APPARATUS THEREOF AND SOFTWARE PRODUCT

    公开(公告)号:US20210348911A1

    公开(公告)日:2021-11-11

    申请号:US17237844

    申请日:2021-04-22

    Abstract: A method is provided for controlling an electronic apparatus on the basis of a value of a lid angle between a first hardware element accommodating a first magnetometer and a second hardware element accommodating a second magnetometer. The method includes acquiring, through the magnetometers, first signals representing an orientation of the hardware elements. A calibration parameter indicative of a condition of calibration of the magnetometers is generated on the basis of the first signals. A reliability value indicative of a condition of reliability of the first signals is generated on the basis of the first signals. A first intermediate value of the lid angle is calculated on the basis of the first signals. A current value of the lid angle is calculated on the basis of the calibration parameter, of the reliability value, and of the first intermediate value, and the electronic apparatus is controlled on the basis of the current value.

    COMPUTING SYSTEM IMPLEMENTING AN ALGORITHM FOR FUSING DATA FROM INERTIAL SENSORS, AND METHOD

    公开(公告)号:US20210207940A1

    公开(公告)日:2021-07-08

    申请号:US17207180

    申请日:2021-03-19

    Abstract: A computing system includes a first hardware element having a first accelerometer and a first gyroscope, and a second hardware element having a second accelerometer and a second gyroscope. The first and second hardware elements are moveable with respect to each other. The computing system recursively generates a result signal indicative of a relative orientation of the first and second hardware elements with respect to each other. The result signal may be generated by generating a first intermediate signal indicative of a angle between the first and second hardware elements based on signals generated by the first and second accelerometers and generating a second intermediate signal indicative of the angle based on signals generated by the first and second gyroscopes. The result signal indicative of the angle may be generated as a weighted sum of the first intermediate signal and the second intermediate signal. At least one of the first and second hardware elements is controlled by on the result signal.

    METHOD FOR DETECTING A WRIST-TILT GESTURE AND AN ELECTRONIC UNIT AND A WEARABLE ELECTRONIC DEVICE WHICH IMPLEMENT THE SAME

    公开(公告)号:US20210117010A1

    公开(公告)日:2021-04-22

    申请号:US17067519

    申请日:2020-10-09

    Abstract: An electronic device has an input which, in operation, receives an input stream of accelerometer data samples indicative of acceleration values along at least one axis. The devices includes circuitry, coupled to the input. The circuitry, in operation, executes an automatic-learning algorithm on blocks of samples of the input stream of accelerometer data samples to identify, for each block, a corresponding condition-of-user-movement from among a plurality of determined conditions-of-user-movement. The circuitry generates a plurality of streams of samples based on the input stream of accelerometer data samples, and for each condition of movement identified, selects a corresponding stream of samples of the plurality of streams of samples. The circuitry executes a wrist-tilt gesture detection algorithm using samples of the selected stream of the plurality of streams of samples.

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