Verfahren und System zur Beurteilung der Kognitiven Arbeitslast unter Verwendung eines Atemmusters einer Person

Details

Veröffentlichungs-Nr.

EP3747359

Aktenzeichen

EP20177785

Anmeldetag

2. Juni 2020

Veröffentlichung

31. Juli 2024

Erteilung

31. Juli 2024

Rechtsraum

EP

IPC

A61B5/08A61B5/0205A61B5/00A61B5/16G16H50/20G16H40/63G16H50/30

Abstract

This disclosure relates generally to assessment of cognitive workload using breathing pattern of a person, where cognitive workload is the amount of mental effort required while doing a task. The method and system provides assessment of cognitive workload based on breathing pattern extracted from photoplethysmograph (PPG) signal, which is collected from the person using a wearable device. The PPG signal collected using the wearable device are processed in multiple stages that include breathing signal extraction to extract breathing pattern. The extracted breathing pattern is used for assessment of cognitive workload using a generated personalized training model, wherein the personalized training model is generated and dynamically updated for each person based on selection of a sub-set of breathing pattern features using feature selection and classification techniques that include maximal information coefficient (MIC) techniques. Finally based on personalized training model, the extracted breathing pattern is classified as high cognitive workload or low cognitive workload.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete