公开(公告)号：US20250027970A1

公开(公告)日：2025-01-23

申请号：US18353678

申请日：2023-07-17

Applicant: STMicroelectronics International N.V.

Inventor： Stefano Paolo Rivolta ,  Federico Rizzardini ,  Lorenzo Bracco ,  Marco Bianco ,  Tae-gil Kang

IPC: G01P15/08

Abstract: According to an embodiment, a sensor including a machine learning core (MLC) and a finite state machine (FSM) circuit for detecting a shock event is provided. The MLC continuously calculates a value based on the change in velocity. The FSM circuit compares the value to a first threshold and generates a first interrupt if it is greater than the first threshold. The FSM circuit then compares the value to a second threshold less than the first threshold and generates a second interrupt if it is less than or equal to the second threshold after the first interrupt. The MLC calculates a maximum value between the first and second interrupts and stores it in a register, which is read by an application processor of a host device after receiving the second interrupt. The maximum acceleration norm value is reset after a delay after the second interrupt is generated.

公开(公告)号：US20250139496A1

公开(公告)日：2025-05-01

申请号：US18495259

申请日：2023-10-26

Applicant: STMicroelectronics International N.V.

Inventor： Tae-gil Kang ,  Hyeok Won ,  Junyeong Ji ,  Sanghyuk Park

IPC: G06N20/00 ,  G01P1/00 ,  G01P15/08 ,  G01P15/18

Abstract: According to an embodiment, a method for determining whether a fall of a device is on a hard surface or a soft surface is proposed. The method includes collecting N samples of acceleration data after detecting a free-fall event; applying a high-pass filter on the N samples of acceleration data; calculating a variance from the N samples of acceleration data after applying the high-pass filter on the N samples of acceleration data; determining that the fall is on the hard surface in response to the variance from the N samples of acceleration data after applying the high-pass filter on the N samples of acceleration data being greater than a threshold; and determining that the fall is on the soft surface in response to the variance from the N samples of acceleration data after applying the high-pass filter on the N samples of acceleration data being less than the threshold.