Subject Test Using Electroencephalogram According to Variation of Autostereoscopic Image Quality


KIPS Transactions on Software and Data Engineering, Vol. 5, No. 4, pp. 195-202, Apr. 2016
10.3745/KTSDE.2016.5.4.195,   PDF Download:

Abstract

There have been many studies on subject tests for 3D contents using 3D glasses, but there is a limited research for 3D contents using autostereoscopic display. In this study, we investigated to assess usability of electroencephalogram (EEG) as an objective evaluation for 3D contents with different quality using autosteroscopic display, especially for lenticular lens type. The image with optimal quality and the image with distorted quality were separately generated for autostereosopic display with lenticular lens type and displayed sequentially through lenticular lens for 26 subjects. EEG signals of 8 channels from 26 subjects exposed to those images were detected and correlation between EEG signal and the quality of 3D images were statistically evaluated to check differences between optimal and distorted 3D contents. What we found was that there was no statistical significance for a wave vibration, however b wave vibration shows statistically significant between optimal and distorted 3D contents. b wave vibration observed for the distorted 3D image was stronger than that for the optimal 3D image. This results suggest that subjects viewing the distorted 3D contents through lenticular lens experience more discomfort or fatigue than those for the optimum 3D contents, which resulting in the greater b wave activity for those watching the distorted 3D contents. In conclusion, these results confirm that electroencephalogram (EEG) analysis can be used as a tool for objective evaluation of 3D contents using autosteroscopic display with lenticular lens type.


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Cite this article
[IEEE Style]
J. Moon, J. Hong, Y. Choi, J. Suh, "Subject Test Using Electroencephalogram According to Variation of Autostereoscopic Image Quality," KIPS Transactions on Software and Data Engineering, vol. 5, no. 4, pp. 195-202, 2016. DOI: 10.3745/KTSDE.2016.5.4.195.

[ACM Style]
Jae-Chul Moon, Jong-Ui Hong, Yoo-Joo Choi, and Jung-Keun Suh. 2016. Subject Test Using Electroencephalogram According to Variation of Autostereoscopic Image Quality. KIPS Transactions on Software and Data Engineering, 5, 4, (2016), 195-202. DOI: 10.3745/KTSDE.2016.5.4.195.