Parsimonious Approach to in Analyzing Brainwaves for VR Users

Authors

  • Gi-Sung Oh Department of Computer Engineering, Gachon University, Seongnam-si, Gyeonggi-do, 13120, Republic of Korea
  • Won-Jun Jeong Department of Computer Engineering, Gachon University, Seongnam-si, Gyeonggi-do, 13120, Republic of Korea
  • Sung-Jin Cho Department of Psychiatry, Gachon University, Gil Medical Center, Incheon, 21565, Republic of Korea
  • Seok-Hee Oh Department of Computer Engineering, Gachon University, Seongnam-si, Gyeonggi-do, 13120, Republic of Korea

DOI:

https://doi.org/10.13052/jwe1540-9589.21511

Keywords:

VR Sickness, EEG, SSQ, PCA, Test of Independence

Abstract

For the development of virtual reality (VR) technology, research to solve the VR Sickness is essential. Many attempts have been made to measure and reduce VR Sickness using questionnaires, analysis, and bio-signals, but it is true that analytical research through clinical practice still lacks. In this paper, the researcher collected bio-signals and questionnaire data to analyze the correlation between VR Sickness and user and perform principal component analysis and chi-square independence test based on the collected data. As a result, the researcher was able to be aware of the user’s concentration and relaxation state by EEG and found they are correlated with VR Sickness. Finally, the result of the analysis was cross-checked to confirm that these correlations show a significant difference. The empirical result of this study is expected to be used for the research to reduce VR Sickness through bio-signal.

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Author Biographies

Gi-Sung Oh, Department of Computer Engineering, Gachon University, Seongnam-si, Gyeonggi-do, 13120, Republic of Korea

Gi-Sung Oh received his Master in Game Engineering from College of IT Convergence Engineering of Gachon University in 2020. He is currently a graduate student in the IT Convergence Engineering at Gachon University, Republic of Korea. His research interests include VR sickness, Bio-signal data analysis, Game design and evaluation methods of VR Contents.

Won-Jun Jeong, Department of Computer Engineering, Gachon University, Seongnam-si, Gyeonggi-do, 13120, Republic of Korea

Won-Jun Jeong received his Master in Game Engineering from College of IT Convergence Engineering of Gachon University in 2020. He is currently a graduate student in the IT Convergence Engineering at Gachon University, Republic of Korea. His research interests include VR sickness, evaluation methods of VR Contents and Bio-signal data analysis.

Sung-Jin Cho, Department of Psychiatry, Gachon University, Gil Medical Center, Incheon, 21565, Republic of Korea

Sung-Jin Cho received the Master and Ph.D., M.D. degree in Medicine from College of Medicine of Seoul National University in 2000 and 2004, respectively. He has been working in department of psychatry, College of Medicine, Gachon University since 2000.

Seok-Hee Oh, Department of Computer Engineering, Gachon University, Seongnam-si, Gyeonggi-do, 13120, Republic of Korea

Seok-Hee Oh received the Ph.D., degree in Computer Engineering from College of IT Convergence Engineering of Gachon University in 2016, respectively. He has been working in department of Computer Engineering, College of IT, Gachon University since 2016.

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Published

2022-08-18

Issue

Section

SPECIAL ISSUE ON Future Multimedia Contents and Technology on Web in the 5G Era