Next Article in Journal
A Remote Lab for Experiments with a Team of Mobile Robots
Next Article in Special Issue
Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection
Previous Article in Journal
Fast Estimation of Defect Profiles from the Magnetic Flux Leakage Signal Based on a Multi-Power Affine Projection Algorithm
Previous Article in Special Issue
Robust Arm and Hand Tracking by Unsupervised Context Learning
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(9), 16467-16485; doi:10.3390/s140916467

Assessment of Eye Fatigue Caused by 3D Displays Based on Multimodal Measurements

Division of Electronics and Electrical Engineering, Dongguk University, 26 Pil-dong 3-ga, Jung-gu, Seoul 100-715, Korea
*
Author to whom correspondence should be addressed.
Received: 2 August 2014 / Revised: 21 August 2014 / Accepted: 2 September 2014 / Published: 4 September 2014
(This article belongs to the Special Issue HCI In Smart Environments)
View Full-Text   |   Download PDF [2018 KB, uploaded 4 September 2014]   |  

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. View Full-Text
Keywords: eye fatigue; 3D display; multimodal measurement; remote gaze tracking system eye fatigue; 3D display; multimodal measurement; remote gaze tracking system
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Bang, J.W.; Heo, H.; Choi, J.-S.; Park, K.R. Assessment of Eye Fatigue Caused by 3D Displays Based on Multimodal Measurements. Sensors 2014, 14, 16467-16485.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top