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| Stereoscopic visual fatigue assessment and modeling | |
| Wang, Danli (1); Wang, Tingting (1); Gong, Yue (1); Wang, D. | |
| 2014 | |
| Conference Name | 25th Stereoscopic Displays and Applications Conference, SD and A 2014 |
| Conference Date | February 3, 2014 - February 5, 2014 |
| Conference Place | San Francisco, CA, United states |
| Indexed Type | CPCI ; EI |
| Publish Place | SPIE |
| ISSN | 0277786X |
| ISBN | 9780819499288 |
| Department | (1) Beijing Key Lab of Human-Computer Interaction, Institute of Software, Chinese Academy of Sciences, 4# South Fourth Street, Zhong Guan Cun, Beijing, 100190, China |
| English Abstract | 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. © 2014 SPIE-IS & T.; 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. © 2014 SPIE-IS & T. |
| Keyword | Stereoscopic Display Visual Fatigue Subjective Assessment Objective Measurement Predictive Model |
| Language | 英语 |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/16522 |
| Collection | 中国科学院软件研究所 |
| Corresponding Author | Wang, D. |
| Recommended Citation GB/T 7714 | Wang, Danli ,Wang, Tingting ,Gong, Yue ,et al. Stereoscopic visual fatigue assessment and modeling[C]. SPIE,2014. |
| Files in This Item: | There are no files associated with this item. | |||||
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