公开(公告)号：US20250076048A1

公开(公告)日：2025-03-06

申请号：US18240955

申请日：2023-08-31

Applicant: STMicroelectronics International N.V.

Inventor： Alessandro MAGNANI ,  Matteo QUARTIROLI ,  Alessandro MECCHIA

IPC: G01C19/5712 ,  G01C25/00

Abstract: A sensor module includes a pattern generator configured to generate a variable frequency self-test signal. The sensor module includes an inertial sensor including a self-test electrode configured to receive the frequency sweep self-test signal. The inertial sensor is configured to generate an analog sensor signal based on the self-test signal. The sensor module includes an analog to digital converter configured to generate a digital sensor signal based on the analog sensor signal and a demodulator including a first input configured to receive the digital sensor signal, a second input configured to receive the self-test signal, and an output configured to output a demodulated signal. The sensor module includes a first low pass filter coupled to the output of the demodulator and configured to generate a baseband signal. The sensor module includes a calibration circuit configured to identify different MEMS characteristics, like resonance frequency, Q-factor, or sensitivity based on the baseband signal.

公开(公告)号：US20250134409A1

公开(公告)日：2025-05-01

申请号：US18496728

申请日：2023-10-27

Applicant: STMicroelectronics International N.V.

Inventor： Federico RIZZARDINI ,  Alessandro MAGNANI

IPC: A61B5/08 ,  A61B5/00 ,  A61B5/11

Abstract: The present disclosure is directed to cough detection for electronic devices, such as wireless headphones. The cough detection utilizes inertial sensors to perform both head movement detection and vocal activity detection. The dual identification of head movement and vocal activity allows improved detection accuracy, and minimal false detections caused by environmental noise.