Semester of Graduation
Spring 2020
Degree
Master of Science in Computer Science (MSCS)
Department
Computer Science
Document Type
Thesis
Abstract
Music and Serious Games are separately useful alternative therapy methods for helping people with a cognitive disorder, including Attention Deficit Hyperactivity Disorder (ADHD). The goal of this thesis is to explore the effect of background music on children with and without ADHD. In this study, a simple Tetris game is designed with Beethoven, Mozart music, and no-music. There are different brainwave techniques for recording; among others, the electroencephalography (EEG) allows for the most efficient use of BCI. We recorded the EEG brain signals of the regular and ADHD subjects who played the Tetris we designed according to our protocol that consists of three trials with three different background music. Attention related Alpha and Beta waves of EEG signals analyzed based on time and time-frequency domain features. The changes in the data over the 1-minute Tetris game sections are investigated with the Short-time Fourier Transform (STFT) method. The results showed that music has a considerable impact on attention of children. When it comes to music types, in general, Mozart music increases Beta waves while decreasing the Alpha band waves for subjects without ADHD. On the other hand, Beethoven music increased both Alpha and Beta band values for children with ADHD.
Recommended Citation
Kiran, Fettah, "Exploring Effects of Background Music in A Serious Game on Attention by Means of EEG Signals in Children" (2020). LSU Master's Theses. 5151.
https://repository.lsu.edu/gradschool_theses/5151
Committee Chair
Soysal, Omer
DOI
10.31390/gradschool_theses.5151
Included in
Alternative and Complementary Medicine Commons, Cognitive Behavioral Therapy Commons, Cognitive Neuroscience Commons, Computational Neuroscience Commons, Disability Studies Commons, Other Mental and Social Health Commons, Signal Processing Commons