Method and system for determining inactive state and its implication over cognitive load computation of a person

A system for determining a cognitive load of a person using a modified baseline, the system comprises:

• an input/output interface for instructing the person to stay in an eyes closed rest state, stay in a baseline state and carry out a trial state respectively, wherein, a task is performed by the person during the trial state;
• an Electroencephalogram (EEG) sensor for sensing an EEG signal of the person;
• a Galvanic Skin Response (GSR) sensor for sensing a GSR signal of the person;
• a preprocessor for preprocessing the EEG signal and the GSR signal;
• a memory;
• and
• a processor coupled with the memory, wherein the processor further configured to perform the steps of:
• segmenting the preprocessed EEG signal and the preprocessed GSR signal into a rest interval corresponding to the rest state, a baseline interval corresponding to the baseline state and a trial interval corresponding to the trial state;
• performing power spectral analysis of the EEG signal to determine a first set of inactive states of the person from the baseline interval and the rest interval;
• identifying a most inactive window out of the first set of inactive states, wherein the most inactive window is during the rest interval of the person;
• determining the cognitive load of the person using the EEG signal of the person during the trial state and by using the most inactive window as the modified baseline;
• and
• validating the identification of the first inactive window, wherein validating comprises:
• performing power spectral analysis of the GSR signal to determine a set of second inactive states of the person from the baseline interval and the rest interval;
• identifying a most inactive window out of the set of second inactive states, wherein the most inactive window is during the rest interval of the person;
• and
• validating the most inactive state derived from the EEG signal with respect to the most inactive state derived from the GSR signal.

A non-transitory computer readable medium embodying a program executable in a computing device for determining a cognitive load of a person using a modified baseline, the program comprising a processor implemented steps of:

• instructing the person to stay in an eyes closed rest state, stay in a baseline state and carry out a trial state respectively, wherein, a task is performed by the person during the trial state;
• sensing an Electroencephalogram (EEG) signal of the person using an EEG sensor;
• sensing a Galvanic Skin Response (GSR) signal of the person using a GSR sensor;
• preprocessing the EEG signal and the GSR signal using a preprocessor;
• segmenting the preprocessed EEG signal and the preprocessed GSR signal into a rest interval corresponding to the rest state, a baseline interval corresponding to the baseline state and a trial interval corresponding to the trial state;
• performing power spectral analysis of the EEG signal to determine a first set of inactive states of the person from the baseline interval and the rest interval;
• identifying a most inactive window out of the first set of inactive states, wherein the most inactive window is during the rest interval of the person;
• determining the cognitive load of the person using the EEG signal of the person during the trial state and by using the most inactive window as the modified baseline;
• and
• validating the identification of the first inactive window, wherein validating comprises:
• performing power spectral analysis of the GSR signal to determine a set of second inactive states of the person from the baseline interval and the rest interval;
• identifying a most inactive window out of the set of second inactive states, wherein the most inactive window is during the rest interval of the person;
• and
• validating the most inactive state derived from the EEG signal with respect to the most inactive state derived from the GSR signal.