eprintid: 3383
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/33/83
datestamp: 2023-11-09 15:51:38
lastmod: 2023-11-09 15:51:38
status_changed: 2023-11-09 15:46:42
type: conference_item
metadata_visibility: show
creators_name: Khairuddin, H.R.
creators_name: Malik, A.S.
creators_name: Mumtaz, W.
creators_name: Kamel, N.
creators_name: Xia, L.
title: Analysis of EEG signals regularity in adults during video game play in 2D and 3D
ispublished: pub
keywords: Complexity levels; Entertainment industry; Healthy subjects; Open condition; Permutation entropy; Polarized glass; Signal complexity; Time-series data, Glass; Interactive computer graphics, Three dimensional, adult; brain; comparative study; electroencephalography; entropy; female; human; male; normal human; physiology; procedures; recreation; signal processing; young adult, Adult; Brain; Electroencephalography; Entropy; Female; Healthy Volunteers; Humans; Male; Signal Processing, Computer-Assisted; Video Games; Young Adult
note: cited By 13; Conference of 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 ; Conference Date: 3 July 2013 Through 7 July 2013; Conference Code:100170
abstract: 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
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84886572728&doi=10.1109%2fEMBC.2013.6609938&partnerID=40&md5=a31a58fce8e806638adb85e8f9dcc489
id_number: 10.1109/EMBC.2013.6609938
full_text_status: none
publication: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
place_of_pub: Osaka
pagerange: 2064-2067
refereed: TRUE
isbn: 9781457702167
issn: 1557170X
citation:   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.