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：EP4336344A1

公开(公告)日：2024-03-13

申请号：EP23191884.8

申请日：2023-08-17

Applicant: STMicroelectronics S.r.l.

Inventor： GANDOLFI, Luca ,  GAROZZO, Ugo

IPC: G06F7/483 ,  G06F7/544

Abstract: A calculation unit includes: a multiplier (16), configured to calculate a product (w ij x j ) of a first factor (w ij ) and a second factor (x j ); an accumulation memory element (18), containing a current accumulation value (ACC j ); and a floating-point sum/subtraction unit (17), coupled to the multiplier (16; 116) and the accumulation memory element (18) to receive respectively the product (w ij x j ) and the current accumulation value (ACC j ) and configured to calculate an updated accumulation value (ACC j+1 ) based on the sum of the product (w ij x j ) and the current accumulation value (ACC j ) and to store the updated accumulation value (ACC j+1 ) in the accumulation memory element (18). The first factor (w ij ) and the second factor (x j ) each comprise a respective sign bit (SGN(w ij ), SGN(x j )) and respective exponent bits (EXP(w ij )).