Verfahren und System zur Klassifizierung der Kognitiven Last unter Verwendung von aus Tragbaren Sensoren Gewonnenen Daten

Details

Veröffentlichungs-Nr.

EP4109469

Aktenzeichen

EP22180603

Anmeldetag

23. Juni 2022

Veröffentlichung

22. Oktober 2025

Erteilung

22. Oktober 2025

Rechtsraum

EP

IPC

G16H50/20A61B5/16// A61B5/01A61B5/024A61B5/0531A61B5/00

Abstract

This disclosure relates generally to a method and system for classification of cognitive load (CL) using data obtained from wearable sensors. The disclosed method uses a multi-modal based approach using wrist-worn sensors for real time monitoring of CL in real world scenarios and improves the accuracy of detection of CL. A set of distinguishing features are selected from physiological signals received from the wrist-worn sensors. These features are used for training a classification model for classifying the CL of a patient into a no load or a high load. The set of distinguishing features are selected from domain specific features and signal property based generic features of the physiological signals. The disclosed method is used for classification of CL in scenarios such as to check how the cognitive load of a candidate varies during interviews, to assess the participants workload during online meetings and so on.

Anmelder

Firma

Tata Consultancy Services Limited

Land

🇮🇳 Indien

Fachgebiete