SYSTEM AND METHOD TO INCREASE DISPLAY AREA UTILIZING A PLURALITY OF DISCRETE DISPLAYS

    公开(公告)号:US20190034150A1

    公开(公告)日:2019-01-31

    申请号:US16045269

    申请日:2018-07-25

    Abstract: A method includes receiving, at a master agent, announcements from candidate consumer agents indicating the presence of the candidate consumer agents. Each announcement includes display parameters for a display of the corresponding candidate consumer agent. The method further includes receiving at the master agent content parameters from a producer agent, the content parameters defining characteristics of content to be provided by the consumer agent. A mosaic screen is configured based on the received announcements and the content parameters. This configuring of the mosaic screen includes selecting ones of the consumer agents for which an announcement was received and generating content distribution parameters based on the content parameters and the display parameters of the selected ones of the consumer agents. The generated content distribution parameters are provided to the consumer agent.

    SYSTEM AND METHOD FOR FAST MAGNETOMETER CALIBRATION USING GYROSCOPE

    公开(公告)号:US20240045001A1

    公开(公告)日:2024-02-08

    申请号:US18488750

    申请日:2023-10-17

    CPC classification number: G01R33/0035 G01C25/005

    Abstract: An electronic device includes a magnetometer that outputs magnetometer sensor signals and a gyroscope that outputs gyroscope sensor signals. The electronic device includes a magnetometer calibration module that calibrates the magnetometer utilizing the gyroscope sensor signals. The electronic device generates a first magnetometer calibration parameter based on a Kalman filter process. The electronic device generates a second magnetometer calibration parameter based on a least squares estimation process.

    MOTION EVENT DETECTION
    14.
    发明公开

    公开(公告)号:US20230322170A1

    公开(公告)日:2023-10-12

    申请号:US17717855

    申请日:2022-04-11

    Abstract: The present disclosure is directed to a device and method for detection of motion events including towing of the vehicle, jacking of the vehicle, and the vehicle being hit by another object. Processing is split between an MCU and a sensor unit. After the vehicle is turned off and before the MCU enters a sleep mode, the MCU calculates a gravity vector of the vehicle using accelerometer data, calculates threshold values based on the gravity vector, and saves the threshold values. After the MCU enters the sleep mode, the sensor unit subsequently monitors and detects motion events with the saved threshold values.

    RECONFIGURABLE SENSOR UNIT FOR ELECTRONIC DEVICE

    公开(公告)号:US20200080843A1

    公开(公告)日:2020-03-12

    申请号:US16686091

    申请日:2019-11-15

    Inventor: Mahesh CHOWDHARY

    Abstract: A sensor chip includes registers storing and outputting configuration data, an extraction circuit receiving digital data and extracting features of the digital data in accordance with the configuration data, and a classification circuit applying a decision tree to the extracted features to generate a context of an electronic device into which the sensor chip is incorporated relative to its surroundings, the decision tree operating according to the configuration data. The classification unit outputs the context to the registers for storage. The configuration data includes which features for the extraction circuit to extract from the digital data, and a structure for the decision tree. The structure for the decision tree includes conditions that the decision tree is to apply to the at least one extracted feature, and outcomes to be effectuated based upon whether the extracted features meet or do not meet the conditions.

    SENSOR UNIT WITH ON-DEVICE UNSUPERVISED LEARNING AND CLASSIFICATION

    公开(公告)号:US20240192762A1

    公开(公告)日:2024-06-13

    申请号:US18063584

    申请日:2022-12-08

    CPC classification number: G06F3/011 G06F1/163 G06F3/017 G06F3/0346

    Abstract: An electronic device includes a sensor unit. The sensor unit includes a sensor and low power, low area sensor processing unit. The sensor processing unit performs an unsupervised machine learning processes to learn to recognize an activity or motion of the user or device. The user can request to learn the new activity. The sensor processing unit can request that the user remain stationary for a selected period of time before performing the activity. The sensor processing unit records sensor data while the user performs the activity and generates an activity template from the sensor data. The sensor processing can then infer when the user is performing the activity by comparing sensor signals to the activity template.

    AUTOMATIC FILTER SELECTION IN DECISION TREE FOR MACHINE LEARNING CORE

    公开(公告)号:US20220138589A1

    公开(公告)日:2022-05-05

    申请号:US17085593

    申请日:2020-10-30

    Abstract: Technological advancements are disclosed that utilize inertial sensor data for multiple classes to select a combination of filters to extract information though features to train a machine learning core decision tree. A determination is made whether the data for a class includes a frequency peak or dominating frequency that contains significant information about the class. In response to the data for the class including a frequency peak, a peak-based frequency range is determined. An entropy value is calculated for multiple frequency ranges in the data for the class. An entropy-based frequency range is selected from the multiple frequency ranges having a minimum entropy value. A frequency of interest is selected from the peak-based frequency range and the entropy-based frequency range for the class. A combination of filters is selected for each frequency of interest for each class and a decision tree is trained based on selected filter combination.

    SYSTEM AND METHOD TO INCREASE DISPLAY AREA UTILIZING A PLURALITY OF DISCRETE DISPLAYS

    公开(公告)号:US20210349672A1

    公开(公告)日:2021-11-11

    申请号:US17380754

    申请日:2021-07-20

    Abstract: A method includes receiving, at a master agent, announcements from candidate consumer agents indicating the presence of the candidate consumer agents. Each announcement includes display parameters for a display of the corresponding candidate consumer agent. The method further includes receiving at the master agent content parameters from a producer agent, the content parameters defining characteristics of content to be provided by the consumer agent. A mosaic screen is configured based on the received announcements and the content parameters. This configuring of the mosaic screen includes selecting ones of the consumer agents for which an announcement was received and generating content distribution parameters based on the content parameters and the display parameters of the selected ones of the consumer agents. The generated content distribution parameters are provided to the consumer agent.

    METHOD AND SYSTEM FOR UPDATING MACHINE LEARNING BASED CLASSIFIERS FOR RECONFIGURABLE SENSORS

    公开(公告)号:US20210272025A1

    公开(公告)日:2021-09-02

    申请号:US17321251

    申请日:2021-05-14

    Abstract: A sensor management system includes a cloud-based sensor configuration system and an electronic device. The electronic device includes a sensor unit. The sensor unit includes configuration data that controls operation of the sensor unit. The configuration data includes a classifier that classifies feature sets generated from sensor signals of the sensor unit. The electronic device sends sensor data to the cloud-based sensor configuration system. The cloud-based sensor configuration system analyzes the sensor data and generates a new classifier customized for the sensor unit based on the sensor data. The cloud-based sensor configuration system sends the new classifier to the electronic device. The electronic device replaces the classifier in the sensor unit with the new classifier.

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