Disparity in Brain Dynamics for Video Games Played on Small and Large Displays

Malik, Aamir Saeed and Pauzi, A. and Osman, D.A and Hamizah, Raja Nur (2012) Disparity in Brain Dynamics for Video Games Played on Small and Large Displays. In: 2012 IEEE Symposium on Humanities, Science and Engineering Research, 24-27 June, Kuala Lampur, Malaysia.

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In this research, we investigated the differences in
brain activity while the subjects played video game.
Experiment was conducted with two screen sizes; a large
screen (40-inch display) and a small screen (3.5-inch handheld game). A total of 28 subjects participated in the study where two groups of 14 subjects played video games on two different screen sizes. Prior to video game play, baseline electroencephalogram (EEG) data were recorded during eyes open (EO) resting condition for five minutes. While the subjects played video game, the data were collected using a 19-channel EEG machine. The analysis was made by comparing the EEG results of subjects playing video game with that of baseline data. In order to remove artefacts like eye blinking and eye movements, a pre-processing like filtering was performed to clean the data. The analysis was made by using three measures, i.e., absolute power, coherence and phase lag. The analysis was made on four main frequency bands. It was found that the brain was active in beta band as higher absolute power was observed in occipital, parietal frontal and motor regions while playing video game as compared to baseline condition. Also, the coherence results showed that these regions are well connected. Furthermore, faster communication was observed from phase lag result for these regions.

Item Type: Conference or Workshop Item (Paper)
Subjects: R Medicine > R Medicine (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments / MOR / COE: Centre of Excellence > Center for Intelligent Signal and Imaging Research
Departments > Electrical & Electronic Engineering
Research Institutes > Institute for Health Analytics
Depositing User: Dr Aamir Saeed Malik
Date Deposited: 22 Nov 2012 02:56
Last Modified: 19 Jan 2017 08:21
URI: http://scholars.utp.edu.my/id/eprint/8457

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