Moyeenudin, H.M. and Hannah, S. and Anuradha, T. and Muthalagu, R. and Devi, V. Seedha and Anand, A. Jose (2023) Analysis of Electroencephalographic Signals to Study the Behavior of Brain Frequencies for the Study of Academic Stress. In: 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India.
![[thumbnail of Analysis of Electroencephalographic Signals to Study the Behavior of Brain Frequencies for the Study of Academic Stress _ IEEE Conference Publication _ IEEE Xplore.pdf]](https://ir.vistas.ac.in/style/images/fileicons/archive.png)
Analysis of Electroencephalographic Signals to Study the Behavior of Brain Frequencies for the Study of Academic Stress _ IEEE Conference Publication _ IEEE Xplore.pdf
Download (435kB)
Abstract
The current study perform an analysis of electroencephalographic signals to study the behavior of brain frequencies in subjects who are under academic stress generated by a cognitive task, while listening to music or being silent. Creation of a corpus of more than 10 subjects under different sound stimuli is created. Characterization of brain signals are characterized for the identification of academic stress. Protocol is designed and brain signals are collected to observe the relationship between music listening and academic stress. EEG signal classifiers are used to identify differences between different sessions. Analysis of brain frequencies are analysed obtained in the sessions for each participant.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Subjects: | Computer Science Engineering > Data Mining |
Divisions: | Computer Science Engineering |
Depositing User: | Mr IR Admin |
Date Deposited: | 21 Sep 2024 05:23 |
Last Modified: | 21 Sep 2024 05:23 |
URI: | https://ir.vistas.ac.in/id/eprint/6784 |