Abstract
Stereoscopic display is contributing to realistic three dimensional (3D) effect which has been widely prevalent and successfully commercialized. However, visual fatigue is still an unsolved issue for these applications and has negative effects on viewers. In this paper, we proposed a method based on analysis of the production theory of 3D display and measurement of biological signals to evaluate visual fatigue. Given that two types of methods have a complementary relationship, we designed a Fuzzy Fusion of Visual Fatigue (FFVF) model using vergence-accommodation conflict (VAC) and electroencephalogram (EEG) signal. By utilizing the fuzzy theory as a fusion method to multiple features, our proposed FFVF model shows a high Pearson correlation value of 0.9676 with questionnaire results while maintaining high stability. This kind of portable human-friendly 3D viewing evaluation technology can be widely deployed.
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Acknowledgments
This work was supported in part by National Natural Science Foundation of China (61273250), the Fundamental Research Funds for the Central Universities (No. 3102017jc11002).
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Bai, Y., Cho, JD., Hussain, G., Xie, SY. (2017). A Portable System of Visual Fatigue Evaluation for Stereoscopic Display. In: Liu, D., Xie, S., Li, Y., Zhao, D., El-Alfy, ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in Computer Science(), vol 10637. Springer, Cham. https://doi.org/10.1007/978-3-319-70093-9_31
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DOI: https://doi.org/10.1007/978-3-319-70093-9_31
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