Measuring the degree of eyestrain caused by watching LCD and PDP devices

Lee, Eui Chul; Park, Kang Ryoung; Whang, Mincheol; Min, Kyungha

doi:10.1016/j.ergon.2009.02.008

Cited by 45 publications

(20 citation statements)

References 20 publications

(33 reference statements)

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“…If the user closes his or her eye, the number of black pixels in the pupil area is reduced due to eyelid occlusion. Based on that information, we are able to determine whether the user's eye is open or closed [22] . The frames that the eye is in close state within one minute are defined as the value of PERCLOS.…”

Section: Discussionmentioning

confidence: 99%

Stereoscopic visual fatigue assessment and modeling

Wang

Gong

2014

SPIE Proceedings

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Evaluation of stereoscopic visual fatigue is one of the focuses in the user experience research. It is measured in either subjective or objective methods. Objective measures are more preferred for their capability to quantify the degree of human visual fatigue without being affected by individual variation. However, little research has been conducted on the integration of objective indicators, or the sensibility of each objective indicator in reflecting subjective fatigue. The paper proposes a simply effective method to evaluate visual fatigue more objectively. The stereoscopic viewing process is divided into series of sessions, after each of which viewers rate their visual fatigue with subjective scores (SS) according to a five-grading scale, followed by tests of the punctum maximum accommodation (PMA) and visual reaction time (VRT). Throughout the entire viewing process, their eye movements are recorded by an infrared camera. The pupil size (PS) and percentage of eyelid closure over the pupil over time (PERCLOS) are extracted from the videos processed by the algorithm. Based on the method, an experiment with 14 subjects was conducted to assess visual fatigue induced by 3D images on polarized 3D display. The experiment consisted of 10 sessions (5min per session), each containing the same 75 images displayed randomly. The results show that PMA, VRT and PERCLOS are the most efficient indicators of subjective visual fatigue and finally a predictive model is derived from the stepwise multiple regressions.

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Section: Discussionmentioning

confidence: 99%

Stereoscopic visual fatigue assessment and modeling

Wang

Gong

2014

SPIE Proceedings

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“…Based on these researches, previous studies measured eyestrain, with more frequent blinking corresponding to greater eyestrain. 2,4 Accordingly, the eyestrain based on BR was measured according to extracted features (VH, MC, and EC). To validate the relationship between these three features and eye responses, a correlation analysis was performed.…”

Section: Resultsmentioning

confidence: 99%

“…Based on these researches, previous studies measured eyestrain, with more frequent blinking corresponding to greater eyestrain. 2,4 The average BR is calculated in a time window of 60 s; the time window here is moved with an overlap of 50 s. To measure visual sensitivity according to the gaze position and angular offset, it is necessary to determine the function of retinal eccentricity. For this, previous research on visual sensitivity is referenced, which showed that visual sensitivity reduced as the distance from the gaze position increased.…”

Section: Eye Response Measurementmentioning

confidence: 99%

“…[1][2][3][4][5][6][7][8] 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] Other studies investigated the relationships between the eyestrain caused by an LCD device and video factors such as brightness, contrast, saturation, hue, edge difference, and scene changes. 4,5 In addition, the eyestrain caused by a stereoscopic display was examined using a subjective measurement method, optometric instrument-based measurement method, optometric clinically based measurements, and brain activity measurements.…”

Section: Introductionmentioning

confidence: 99%

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Minimizing eyestrain on a liquid crystal display considering gaze direction and visual field of view

et al. 2013

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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.

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“…Firstly, image based methods focused on measuring data which are an eye blink or a pupil size variation by using Near Infra-Red (NIR) image when watching 2D and 3D display [1,3,4]. By using NIR, images were captured with clear edge between a pupil and iris.…”

Section: Introductionmentioning

confidence: 99%