Claims:1. A method for measuring cognitive load; said method comprising processor implemented steps of:
acquiring a Galvanic Skin Resistance (GSR) data from each of a one or more user performing a plurality of tasks of predefined varying cognitive load using a GSR acquisition module (210) wherein GSR acquisition module (210) receives GSR data from a GSR sensor (224);
pre-processing the acquired GSR data to remove an artifact from the acquired GSR data to generate a preprocessed GSR data for each of the one or more user using a preprocessing module (212);
extracting a plurality of features for each of the one or more users from the preprocessed GSR data using a feature extraction module (214);
selecting a most discriminative feature for each of the one or more users from the extracted plurality of features based on a discriminative index (DI) using a feature selection module (216); and
computing a score for each of the one or more users and creating effort index (EI) to measure cognitive load based on the selected most discriminative feature using an effort index generation module (218).

2. The method according to claim 1 wherein the GSR sensor (224) is a wearable sensor worn by the one or more users.

3. The method according to claim 1wherein the feature extraction module (214) implements at least one of Peak Detection, Tonic power and Fluctuation analysis to extract the plurality of features.

4. The method according to claim 1 wherein the task of predefined varying cognitive load comprise one of High load tasks and Low load tasks.

5. The method of claim 1 wherein the score computed by the effort index generation module (218) is stored on a server and used in combination with other known features to determine cognitive load.

6. The method according to claim 4 wherein the plurality of tasks of varying cognitive load are performed after an optimal rest time between two consecutive tasks of the plurality of task has elapsed and wherein one of the two consecutive tasks is a high load task and other is a low load task.

7. The method according to claim 6 wherein the optimal rest time is calculated based on the difference between EI for consecutive High load task and Low load task.

8. A system (102) for measuring cognitive load; comprising a processor (202), a memory (204), and a Galvanic Skin Resistance (GSR) sensor (224) operatively coupled with said processor, the system comprising:
a GSR acquisition module (210) configured to acquire a GSR data from each of a one or more user performing a plurality of tasks of predefined varying cognitive load wherein GSR acquisition module (210) receives GSR data from the GSR sensor (224);
a preprocessing module (212) configured to pre-process the acquired GSR data to remove one or more artifact from the acquired GSR data to generate a preprocessed GSR data for each of the one or more user;
a feature extraction module (214) configured to extract a plurality of features for each of the one or more users from the preprocessed GSR data;
a feature selection module (216) selecting a most discriminative feature for each of the one or more users from the extracted plurality of features based on a discriminative index (DI);and
an effort index generation module (220) configure to compute a score for each of the one or more users and creating effort index (EI) to measure cognitive load based on the selected most discriminative feature.

9. The system according to claim 8 wherein the GSR sensor (224) is a wearable sensor worn by the one or more users.

10. The system according to claim 8 wherein the task of varying cognitive load comprise one of High load task and Low load task.

11. The system according to claim 8 wherein the feature extraction module (214) is configured to implement at least one of Peak Detection and fluctuation analysis to extract the plurality of features.

12. The system according to claim 8 wherein the score computed by the effort index generation module (218) is stored in database and is used in combination with other known features to determine cognitive load.

13. The system according to claim 10 wherein the plurality of tasks of varying cognitive load are performed after an optimal rest time between two consecutive tasks of the plurality of task has elapsed and wherein one of the two consecutive tasks is a high load task and other is a low load task.

14. The system according to claim 13 wherein the optimal rest time is calculated based on the difference between EI of consecutive low load task and EI for High load task
, Description:As Attached