relation: https://khub.utp.edu.my/scholars/3383/
title: Analysis of EEG signals regularity in adults during video game play in 2D and 3D
creator: Khairuddin, H.R.
creator: Malik, A.S.
creator: Mumtaz, W.
creator: Kamel, N.
creator: Xia, L.
description: Video games have long been part of the entertainment industry. Nonetheless, it is not well known how video games can affect us with the advancement of 3D technology. The purpose of this study is to investigate the EEG signals regularity when playing video games in 2D and 3D modes. A total of 29 healthy subjects (24 male, 5 female) with mean age of 21.79 (1.63) years participated. Subjects were asked to play a car racing video game in three different modes (2D, 3D passive and 3D active). In 3D passive mode, subjects needed to wear a passive polarized glasses (cinema type) while for 3D active, an active shutter glasses was used. Scalp EEG data was recorded during game play using 19-channel EEG machine and linked ear was used as reference. After data were pre-processed, the signal irregularity for all conditions was computed. Two parameters were used to measure signal complexity for time series data: i) Hjorth-Complexity and ii) Composite Permutation Entropy Index (CPEI). Based on these two parameters, our results showed that the complexity level increased from eyes closed to eyes open condition; and further increased in the case of 3D as compared to 2D game play. © 2013 IEEE.
date: 2013
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Khairuddin, H.R. and Malik, A.S. and Mumtaz, W. and Kamel, N. and Xia, L.  (2013) Analysis of EEG signals regularity in adults during video game play in 2D and 3D.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886572728&doi=10.1109%2fEMBC.2013.6609938&partnerID=40&md5=a31a58fce8e806638adb85e8f9dcc489
relation: 10.1109/EMBC.2013.6609938
identifier: 10.1109/EMBC.2013.6609938