In this paper, we propose a visual fatigue prediction method for stereoscopic video. We select visual fatigue factor candidates and determine the equations for each. The candidates are then classified into their principal components, and the validity of each is confirmed using principal component analysis. Visual fatigue is predicted using multiple regression with subjective visual fatigue. In order to determine the best model, we select the visual fatigue factors that have sufficient significance in terms of subjective fatigue according to the stepwise method. The predicted visual fatigue score is presented as a linear combination of the selected visual fatigue factors. Consequently, the proposed algorithm provides more reliable performance in terms of correlation with the subjective test results compared with a conventional algorithm.
Visual fatigue is a common problem when viewing stereoscopic images. We propose a depth adjustment method that controls the amount of disparity in stereoscopic images using visual fatigue prediction and conducted subjective preference evaluation based on individual fusional response characteristics. Visual fatigue level is predicted by examining the characteristics of horizontal disparity. Viewers are classified into two groups (those with normal susceptibility to visual fatigue and those with high susceptibility to visual fatigue) according to individual fusional limit and speed of fusion, which are determined using a random dot stereogram test. Subjective preferences for the amount of depth adjustment are investigated based on the degree of fusion ability. Our experimental results support the suitability of the proposed depth adjustment method for reducing visual fatigue.
In this paper, we proposed a visual fatigue monitoring system based on eye-movement and eye-blink detection. It
analyzes the eye-movement and number of blinks based on the assumption that saccade movement of the eye decreases
and the number of eye blink increases when visual fatigue of viewer is accumulated. The proposed system has an
infrared single camera and an infrared light source. Then, the pupil of the eye can be detected by applying binary
threshold to Purkinje image. The threshold is automatically selected by two constraints which are the eccentricity of
ellipse fitting and the size of the pupil. Finally, total amount of eye movement and the number of eye blinks are
measured by using the positions of the pupil. The results were obtained while watching stereoscopic videos after
personal calibration procedure. The results show that saccade movement of the eye decreases as the visual fatigue of the
viewer is accumulated. However, the number of eye blinks shows large variance along the time axis which implies it is
not proper for visual fatigue monitoring system.
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