Using EEG for assessment of stereoscopic visual fatigue caused by motion-in-depth

SHEN Li-li; SUN Wei-peng

doi:10.13374/j.issn2095-9389.2017.09.016

Volume 39 Issue 9

Sep. 2017

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SHEN Li-li, SUN Wei-peng. Using EEG for assessment of stereoscopic visual fatigue caused by motion-in-depth[J]. Chinese Journal of Engineering, 2017, 39(9): 1421-1427. doi: 10.13374/j.issn2095-9389.2017.09.016

Citation:

SHEN Li-li, SUN Wei-peng. Using EEG for assessment of stereoscopic visual fatigue caused by motion-in-depth[J]. Chinese Journal of Engineering, 2017, 39(9): 1421-1427. doi: 10.13374/j.issn2095-9389.2017.09.016

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Using EEG for assessment of stereoscopic visual fatigue caused by motion-in-depth

doi: 10.13374/j.issn2095-9389.2017.09.016

SHEN Li-li^,,
SUN Wei-peng

School of Electronic Automation and Information Engineering, Tianjin University, Tianjin 300072, China

Received Date: 2016-11-09

Abstract

Abstract

Stereoscopic visual fatigue occurs after an individual watches a 3D display for a long period of time, which limits its development. As such, it is necessary to undertake an effective and objective evaluation of stereoscopic visual fatigue. The relative power of three electroencephalography (EEG) wavebands, namely θ (4-8 Hz), α (8-13 Hz), and β (13-22 Hz) and three algorithms, E_(α+θ)/β、E_α/β、E_{(α+θ)/(α+β)} were elicited in eight EEG channel regions and in all the channels, respectively. The results show there to be 54 possible EEG indicators available for identifying the optimal indicator for assessing stereoscopic visual fatigue. Lastly, based on the results of a paired-samples t-test, grey relational analysis (GRA), and a support vector machine (SVM), the algorithms parietal E_α/β is proved to be the best indicator. In addition, θ activity remains stable over time, whereas α activity increases significantly (p < 0.01) and β activity decreases significantly (p < 0.01) when in a fatigue status.
- visual fatigue,
- electroencephalography,
- 3D displays,
- objective evaluation

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References(26)

References

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