Method and system for classification of cognitive load using data obtained from wearable sensors

US12412671B2 · kind B2 · utility

Assignee

• Tata Consultancy Services Limited · IN

Inventors

• Debatri Chatterjee · Sherghati, IN
• Dibyanshu Jaiswal · Sherghati, IN
• Ramesh Ramakrishnan · Mount Prospect, US
• Rahul Dasharath GAVAS · Sherghati, IN
• Arpan Pal · Sherghati, IN

Key dates

• Filing date: Jun 23, 2022
• Grant date: Sep 9, 2025
• Expiry date: Mar 27, 2044

Classification

• Technology area (CPC A): Human Necessities
• CPC primary: A61B5/7264
• WIPO field: Medical technology
• WIPO sector: Instruments

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.