Abstract
With the development of 3D displays, user's eye fatigue has been an important issue when viewing these displays. There have been previous studies conducted on eye fatigue related to 3D display use, however, most of these have employed a limited number of modalities for measurements, such as electroencephalograms (EEGs), biomedical signals, and eye responses. In this paper, we propose a new assessment of eye fatigue related to 3D display use based on multimodal measurements. compared to previous works Our research is novel in the following four ways: first, to enhance the accuracy of assessment of eye fatigue, we measure EEG signals, eye blinking rate (BR), facial temperature (FT), and a subjective evaluation (SE) score before and after a user watches a 3D display; second, in order to accurately measure BR in a manner that is convenient for the user, we implement a remote gaze-tracking system using a high speed (mega-pixel) camera that measures eye blinks of both eyes; thirdly, changes in the FT are measured using a remote thermal camera, which can enhance the measurement of eye fatigue, and fourth, we perform various statistical analyses to evaluate the correlation between the EEG signal, eye BR, FT, and the SE score based on the T-test, correlation matrix, and effect size. Results show that the correlation of the SE with other data (FT, BR, and EEG) is the highest, while those of the FT, BR, and EEG with other data are second, third, and fourth highest, respectively.
Highlights
The recent rapid development of 3D displays has resulted in the need for various types of 3D devices such as anaglyphs, passive and active glasses, and non-glasses device types
In order to accurately measure the eye blinking rate (BR) in a manner that is convenient to the user, we implemented a remote gaze-tracking system using a high-speed mega-pixel camera that can measure the eye blinks of both eyes
We propose a novel assessment of eye fatigue caused by 3D displays based on a multimodal measurement method
Summary
The recent rapid development of 3D displays has resulted in the need for various types of 3D devices such as anaglyphs, passive and active glasses, and non-glasses device types. Other studies showed that visual fatigue could be measured by analyzing eye movements and eye blinks [3]. Eye fatigue when viewing 3D displays has been measured using the power of the beta bands of EEGs and BRs considering a Bayesian network [15] These methods have the advantage of usually being more accurate than the methods involving a single modality. The accuracy enhancement of measurement of eye fatigue just by two modalities of EEG and BR is limited [15] To overcome these problems of previous works, we propose a method of assessing eye fatigue caused by 3D displays based on multimodal measurements including EEG signals, eye BR, and facial temperature (FT) with SE both before and after watching a 3D display.
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