Journal of System Simulation
Abstract
Abstract: This study investigates and models the correlation between visual fatigue and ECG data by collecting the ECG data of the participants during watching 3D movies, combining with the subjective scores, the reaction time, and the questionnaires before and after the experiment. ECG data of 12 subjects were analyzed in both time and frequency domain. The results showed that subjective score and HR increased with the duration of viewing, while PNN50 decreased. Linear model of subjective score is established, and the R² of model is 0.930. Subjective questionnaires show significant changes in overall visual fatigue, dry eyes and nausea symptoms after the experiment (p < 0.05).
Recommended Citation
Wang, Danli; Yang, Xinpan; Kang, Yue; and Hu, Haichen
(2019)
"Evaluation and Modeling of Visual Fatigue in 3D Display Based on ECG,"
Journal of System Simulation: Vol. 31:
Iss.
2, Article 6.
DOI: 10.16182/j.issn1004731x.joss.17DEA-003
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol31/iss2/6
First Page
212
Revised Date
2017-01-05
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.17DEA-003
Last Page
217
CLC
TN911.7
Recommended Citation
Wang Danli, Yang Xinpan, Yue Kang, Hu Haichen. Evaluation and Modeling of Visual Fatigue in 3D Display Based on ECG[J]. Journal of System Simulation, 2019, 31(2): 212-217.
DOI
10.16182/j.issn1004731x.joss.17DEA-003
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