Abstract
Recently, it has become necessary to evaluate the performance of display devices in terms of human factors. To meet this requirement, several studies have been conducted to measure the eyestrain of users watching display devices. However, these studies were limited in that they did not consider precise human visual information. Therefore, a new eyestrain measurement method is proposed that uses a liquid crystal display (LCD) to measure a user’s gaze direction and visual field of view. Our study is different in the following four ways. First, a user’s gaze position is estimated using an eyeglass-type eye-image capturing device. Second, we propose a new eye foveation model based on a wavelet transform, considering the gaze position and the gaze detection error of a user. Third, three video adjustment factors—variance of hue (VH), edge, and motion information—are extracted from the displayed images in which the eye foveation models are applied. Fourth, the relationship between eyestrain and three video adjustment factors is investigated. Experimental results show that the decrement of the VH value in a display induces a decrease in eyestrain. In addition, increased edge and motion components induce a reduction in eyestrain.
Highlights
Various display devices, such as the plasma display panel (PDP), liquid crystal display (LCD), light-emitting diode, active-matrix organic light-emitting diode, and stereoscopic TV, are being manufactured
Some of these studies compared the levels of eyestrain caused by watching LCD and PDP devices based on the change in pupil size, eye blinking, and subjective tests.[1,2,3]
To measure visual sensitivity according to the gaze position and angular offset, it is necessary to determine the function of retinal eccentricity
Summary
Various display devices, such as the plasma display panel (PDP), liquid crystal display (LCD), light-emitting diode, active-matrix organic light-emitting diode, and stereoscopic TV, are being manufactured. Lee and Park measured eyestrain on the basis of the change in pupil size in relation to the changes in four adjustment factors: brightness, contrast, saturation, and hue.[5] each factor was calculated from the whole image in the display without considering the influence of the human gaze position Other factors, such as edge difference and scene change, were calculated from the whole image in the display.[4] In other words, these studies were conducted under the assumption that every region in a given image on the display was perceived by the subject.
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