公开(公告)号：US20220138589A1

公开(公告)日：2022-05-05

申请号：US17085593

申请日：2020-10-30

Applicant: STMicroelectronics, Inc.

Inventor： Mahaveer JAIN ,  Mahesh CHOWDHARY

IPC: G06N5/00 ,  G06N20/00

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.

公开(公告)号：US20210272025A1

公开(公告)日：2021-09-02

申请号：US17321251

申请日：2021-05-14

Applicant: STMicroelectronics, Inc.

Inventor： Mahesh CHOWDHARY ,  Mahaveer JAIN

IPC: G06N20/20 ,  G06N5/00

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.

公开(公告)号：US20200348136A1

公开(公告)日：2020-11-05

申请号：US16399829

申请日：2019-04-30

Applicant: STMICROELECTRONICS, INC.

Inventor： Mahaveer JAIN ,  Mahesh CHOWDHARY

IPC: G01C21/16 ,  G01C21/20 ,  G01S19/47 ,  G01C21/28

Abstract: A device including microelectromechanical systems (MEMS) sensors is used in dead reckoning in conditions where Global Positioning System (GPS) signals or Global Navigation Satellite System (GNSS) signals are lost. The device is capable of tracking the location of the device after the GPS/GNSS signals are lost by using MEMS sensors such as accelerometers and gyroscopes. By calculating a misalignment angle between a sensor frame of the device with either the movement direction of the vehicle or the walking direction of a pedestrian using the MEMS sensors, the device can accurately calculate the location of a user of the device even without the GPS/GNSS signals. Accordingly, a device capable of tracking the location of a pedestrian and a user riding in a vehicle without utilizing GPS/GNSS signals can be provided.