Title :
Fully automatic and computerized self-vision-screening system: Vision at own — An E-health service of self vision examination and screening
Author :
Ying-Yin Huang;Sandro Ropelato;Marino Menozzi
Author_Institution :
Human Factors Engineering, Department of Health Sciences and Technology, ETH Zurich Zurich, Switzerland
Abstract :
In this study, a fully automatic vision screening system has been established. The present installation enables the testee to accomplish several vision tests in a self-examination environment, without requiring the assistance of a supervisor or examiner. Included vision tests are far- and near- visual acuity, color vision, stereo vision, contrast vision, and visual field test. Specifically designed vision test charts are used in order to provide an easy-to-understand task for the testee to perform. The screening system delivers an ergonomic task design regarding the user interface which includes the input device, software interface, and the test procedure. The whole system is portable and easy for setting up in various test environments. Test results are evaluated in real time by the computerized program and further provide the testee a printout sheet with examination results and necessary recommendations. Such a system is used for large vision screening campaigns in organizations and may be used in smart-home applications for self-health control.
Keywords :
"Visualization","Machine vision","Color","Standards","Stereo vision","Ergonomics","Software"
Conference_Titel :
Digital Information Processing and Communications (ICDIPC), 2015 Fifth International Conference on
DOI :
10.1109/ICDIPC.2015.7323039