TY - JOUR
T1 - Minimizing eyestrain on a liquid crystal display considering gaze direction and visual field of view
AU - Lee, Won Oh
AU - Heo, Hwan
AU - Lee, Eui Chul
AU - Park, Kang Ryoung
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
KW - eye foveation model
KW - eyestrain
KW - visual field of view
UR - http://www.scopus.com/inward/record.url?scp=84880463522&partnerID=8YFLogxK
U2 - 10.1117/1.OE.52.7.073104
DO - 10.1117/1.OE.52.7.073104
M3 - Article
AN - SCOPUS:84880463522
SN - 0091-3286
VL - 52
JO - Optical Engineering
JF - Optical Engineering
IS - 7
M1 - 073104
ER -