2018
DOI: 10.1002/jsid.667
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The correlation between visual fatigue and duration of viewing as assessed by brain monitoring

Abstract: Duration of viewing was considered as one of the most important factors of 3D visual fatigue. However, their relationship was not well studied. We proposed to use brain monitoring techniques to reveal more details about the variety of brain activity while watching three‐dimensional (3D) content. We investigated the spectral patterns in the electroencephalogram related to various duration of viewing and showed the power spectral density varied significantly along with the development of fatigue over occipital l… Show more

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Cited by 11 publications
(12 citation statements)
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“…Then ICA was conducted to remove the artifacts of EEG. Refer to Yue et al for detailed preprocessing procedure [2].…”
Section: Eeg Preprocessingmentioning
confidence: 99%
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“…Then ICA was conducted to remove the artifacts of EEG. Refer to Yue et al for detailed preprocessing procedure [2].…”
Section: Eeg Preprocessingmentioning
confidence: 99%
“…When watching three dimension content, a variety of unpleasant symptoms are associated such as headache, visual fatigue [1]. In particular, visual fatigue is quite common and usually occurs while watching 3D content and gets worse as the viewing time increases [2]. So visual fatigue assessment has received considerable attention and many methods have been proposed.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Electroencephalogram (EEG) is often used to monitor brain activity that reveals corresponding changes of the CNS. According to the literature, there are four main brain rhythms extracted from EEG signals, which closely relate to visual fatigue: delta, theta, alpha, and beta brain waves . Physiological signals such as skin temperature (SKT), oxygen saturation (SpO 2 ), and electrocardiogram (ECG) provide insight into ANS activities and can be considered the quantification of visual fatigue .…”
Section: Introductionmentioning
confidence: 99%
“…According to the literature, there are four main brain rhythms extracted from EEG signals, which closely relate to visual fatigue: delta, theta, alpha, and beta brain waves. [13][14][15] Physiological signals such as skin temperature (SKT), oxygen saturation (SpO 2 ), and electrocardiogram (ECG) provide insight into ANS activities and can be considered the quantification of visual fatigue. [16][17][18] Heart rate variability (HRV), a measure of the variation in time between each heartbeat, was extracted from ECG and testified as a good marker reflecting visual fatigue.…”
Section: Introductionmentioning
confidence: 99%