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ISSN 2063-5346
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Analyze Learning, Attention, and Information Processing through EEG Signal Processing

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Deepali Gajanan Chaudhary,Pallavi Gajanan Chaudhary,Dr. Bharti Wamanrao Gawali
» doi: 10.48047/ecb/2023.12.10.231

Abstract

Neurocognition is the mental process accountable for doing many tasks among these tasks learning, attention, and information processing are undertaken. This study shows the impact of listening to music on learning and analyzes the attention and information processing while pursuing learning in three different languages as Marathi (Regional), Hindi (National), and English (Foreign) Language. To achieve the target, 10 articles in three languages were given to the 5 subjects and EEG signals were captured for task completion. The device used for acquiring signal was Emotiv EPOC with 14 channels. EEGLAB open-source signal processing toolbox by MATLAB is used for processing the signal. Fast Fourier Transform (FFT) is used for feature extraction. Data analysis is done using statistical techniques, Mean and Standard Deviation. Results show more activity in the right lobe while listening to music whereas high activity in the left lobe is seen during language learning. Music helps to improve concentration levels during learning. From learning and information processing it is seen that the performance and understanding are excellent in the Regional (Marathi) Language, good in the National (Hindi) language, and low in the Foreign (English) Language. It is seen that understanding is excellent in the regional language and even the time required for processing information is less. Moderate time is needed for the National language and more time is needed for understanding the foreign language.

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