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IJSTR >> Volume 10 - Issue 6, June 2021 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Study Of Behavior Addiction Using EEG Signals Analysis

[Full Text]



Maria Hafeez, Muhammad Dawood Idrees, Arsalan Ansari, Abdul Sami



EEG analysis, Addiction,Psycho-physiology, Mobile Game



Mobile phone is currently one of the main sources of information and communication. The use of mobile phones has increased significantly over the past two decade. Although mobile phones were initially limited to only calls and messages, with the development of technology mobile phones are also upgraded and smart phones have taken places in the market. Smart phones are used for many reasons and video games are one of them. There are several positive usages of mobile phones but mobile game addiction is one of the leading cause of psychological and physiological issues among users. The purpose of this study is to investigate the difference between mobile game addicted and non-addicted users using electroencephalography (EEG). In this study mobile users are asked to play a mobile game and their brain signals were recorded by BIOPAC equipment and a data acquisition software. EEG signals were recorded from occipital, parietal, frontal, and lobes of the brain. For this study participants were asked to play a video game and a 60 seconds time window was chosen for signal analysis. This study is conducted into two parts, in the other stage a survey based data was collected and CGS manual study 2010 was employed for this purpose, and results of this survey was concluded that five participants were addicted and 10 were not addicted. This survey study is used as prior information to categorize the participants into addicted and non-addicted groups. Cluster analysis technique was used to categorize the addicted and non-addicted participants.



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