System und Verfahren für Akustische Gestenverfolgung und -Erkennung unter Verwendung eines Gepulsten Neuronalen Netzwerks

Details

Veröffentlichungs-Nr.

EP4170382

Aktenzeichen

EP22185251

Anmeldetag

15. Juli 2022

Veröffentlichung

20. Dezember 2023

Erteilung

20. Dezember 2023

Rechtsraum

EP

IPC

G01S15/66G01S15/88G06F3/01G06N3/049G01S7/54G01S7/534G01S7/536G01S15/87G06F18/2413G06N3/0464G06N3/09G06N3/0495

Abstract

Gesture recognition is a key requirement for Human Computer Interaction (HCI) and multiple modalities are explored in literature. Conventionally, channel taps are estimated using least square based estimation and tap corresponding to finger motion is tracked. These assume that noise component is negligible and can reduce the tracking accuracy for low SNR. Thus, to mitigate the above-mentioned limitation, the system and method of the present disclosure explore the feasibility of using speaker and microphone setup available in most of smart devices and transmit inaudible frequencies (acoustic) for detecting the human finger level gestures accurately. More specifically, System implements the method for millimeter level finger tracking and low power gesture detection on this tracked gesture. The system uses a subspace based high resolution technique for delay estimation and use microphone pairs to jointly estimate the multi-coordinates of finger movement.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete