公开(公告)号：EP4113281A1

公开(公告)日：2023-01-04

申请号：EP22179969.5

申请日：2022-06-20

Applicant: STMicroelectronics S.r.l.

Inventor： GANDOLFI, Luca ,  CASTELLANO, Marco ,  LEO, Marco

IPC: G06F7/544 ,  G06N20/00

Abstract: Method and system for utilizing sequential input inertial sensor data to calculate recursive features for training a machine learning algorithm or for classifying the data as a known class. The recursive feature values of a current data sample are calculating based on comparisons between the current data sample value and previous recursive feature values. The recursive features include a recursive maximum, recursive minimum, recursive peak to peak, recursive average, recursive root mean square, and recursive variance.

公开(公告)号：EP4227694A1

公开(公告)日：2023-08-16

申请号：EP23153627.7

申请日：2023-01-27

Applicant: STMicroelectronics S.r.l.

Inventor： DIMROCI, Enea ,  MIGNEMI, Francesca Giacoma ,  PRIOLO, Roberta ,  LEO, Marco ,  BATTINI, Francesco

IPC: G01R31/3177 ,  G01R31/3185

Abstract: A method to test an asynchronous finite state machine (302) for faults, the method including disabling (326, 328, 330) state transitions out of a state of the asynchronous finite state machine and inputting (318, 322, 324) test data to the AFSM (302) to trigger a transition from the state to an expected state. The method further including enabling (326, 328, 330) transitions out of the state of the asynchronous finite state machine (302), and determining (340, 342) whether the asynchronous finite state machine (302) has performed a successful transition to the expected state.