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@article{ART002318371},
author={Choi Yoo Joo and 서정근},
title={EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality},
journal={Journal of Knowledge Information Technology and Systems},
issn={1975-7700},
year={2018},
volume={13},
number={1},
pages={77-86},
doi={10.34163/jkits.2018.13.1.008}

TY - JOUR
AU - Choi Yoo Joo
AU - 서정근
TI - EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality
JO - Journal of Knowledge Information Technology and Systems
PY - 2018
VL - 13
IS - 1
PB - Korea Knowledge Information Technology Society
SP - 77
EP - 86
SN - 1975-7700
AB - Various studies have been conducted to assess the effects of 3D contents with glasses using electroencephalogram (EEG), but there is a limited research for 3D contents using autostereoscopic display. In this study, we focused to study for sub-b wave frequencies, covering, SMR, M-beta, and H-beta frequencies and various indices of the EEG was used to evaluate stress, attention, relaxation, and vigilance upon quality variation of autostereoscopic 3D images. There were statistical significance for M-beta and H-beta powers when watching for low-quality 3D images were higher than those for high-quality. For various EEG indices, stress and attention indices show statistically significant differences between low and high resolution of 3D images. Stress and attention indices were increased when watching for low-quality 3D images. These results suggest that subjects viewing low-quality 3D contents through lenticular lens experience more discomfort or fatigue than those for high-quality, which resulting from the greater M-beta and H-beta powers for those watching low-quality 3D contents. In conclusion, these results confirm that EEG analysis can be used as a tool for evaluating visual fatigue or stress when watching autostereoscopic display with lenticular lens type.
KW - Autostereoscopic 3D images;Lenticular lens types;Image quality;Subject test;Electroencephalogram (EEG);β wave;M-beta wave;H-beta wave
DO - 10.34163/jkits.2018.13.1.008
ER -

Choi Yoo Joo and 서정근. (2018). EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality. Journal of Knowledge Information Technology and Systems, 13(1), 77-86.

Choi Yoo Joo and 서정근. 2018, "EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality", Journal of Knowledge Information Technology and Systems, vol.13, no.1 pp.77-86. Available from: doi:10.34163/jkits.2018.13.1.008

Choi Yoo Joo, 서정근 "EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality" Journal of Knowledge Information Technology and Systems 13.1 pp.77-86 (2018) : 77.

Choi Yoo Joo, 서정근. EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality. 2018; 13(1), 77-86. Available from: doi:10.34163/jkits.2018.13.1.008

Choi Yoo Joo and 서정근. "EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality" Journal of Knowledge Information Technology and Systems 13, no.1 (2018) : 77-86.doi: 10.34163/jkits.2018.13.1.008

Choi Yoo Joo; 서정근. EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality. Journal of Knowledge Information Technology and Systems, 13(1), 77-86. doi: 10.34163/jkits.2018.13.1.008

Choi Yoo Joo; 서정근. EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality. Journal of Knowledge Information Technology and Systems. 2018; 13(1) 77-86. doi: 10.34163/jkits.2018.13.1.008

Choi Yoo Joo, 서정근. EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality. 2018; 13(1), 77-86. Available from: doi:10.34163/jkits.2018.13.1.008

Choi Yoo Joo and 서정근. "EEG Variation Analysis on Difference of Autostereoscopic 3D Image Quality" Journal of Knowledge Information Technology and Systems 13, no.1 (2018) : 77-86.doi: 10.34163/jkits.2018.13.1.008