Wearable Improved Vision System for Color Vision Deficiency Correction

被引：19

作者：

Melillo P. ^{[1
]}

Riccio D. ^{[2
,3
]}

Di Perna L. ^{[1
]}

Sanniti Di Baja G. ^{[3
]}

De Nino M. ^{[4
]}

Rossi S. ^{[1
]}

Testa F. ^{[1
]}

Simonelli F. ^{[1
]}

Frucci M. ^{[3
]}

机构：

[1] Multidisciplinary Department of Medical, Surgical and Dental Sciences, University of Campania Luigi Vanvitelli, Naples

[2] Department of Electrical Engineering and Information Technology, University of Naples Federico II, Naples

[3] Institute of High Performance Computing and Networking, National Research Council, Naples

[4] Digitalcomoedia, Naples

来源：

IEEE Journal of Translational Engineering in Health and Medicine | 2017年 / 5卷

关键词：

Augmented reality; color vision deficiency; medical device; wearable device;

D O I：

10.1109/JTEHM.2017.2679746

中图分类号：

学科分类号：

摘要：

Color vision deficiency (CVD) is an extremely frequent vision impairment that compromises the ability to recognize colors. In order to improve color vision in a subject with CVD, we designed and developed a wearable improved vision system based on an augmented reality device. The system was validated in a clinical pilot study on 24 subjects with CVD (18 males and 6 females, aged 37.4 ± 14.2 years). The primary outcome was the improvement in the Ishihara Vision Test score with the correction proposed by our system. The Ishihara test score significantly improved (p = 0.03) from 5.8 ± 3.0 without correction to 14.8 ± 5.0 with correction. Almost all patients showed an improvement in color vision, as shown by the increased test scores. Moreover, with our system, 12 subjects (50%) passed the vision color test as normal vision subjects. The development and preliminary validation of the proposed platform confirm that a wearable augmented-reality device could be an effective aid to improve color vision in subjects with CVD. © 2013 IEEE.

引用

共 23 条

[11]

MacHado G.M., Oliveira M.M., Real-time temporal-coherent color contrast enhancement for Dichromats, Comput. Graph. Forum, 29, 3, pp. 933-942, (2010)

[12]

Brettel H., Vienot F., Mollon J.D., Computerized simulation of color appearance for Dichromats, J. Opt. Soc. Amer. A, 14, 10, pp. 2647-2655, (1997)

[13]

Testa F., Et al., Macular abnormalities in Italian patients with retinitis pigmentosa, Brit. J. Ophthalmol., 98, pp. 946-950, (2014)

[14]

Rossi S., Et al., Subretinal fibrosis in stargardt's disease with fundus flav-imaculatus and ABCA4 gene mutation, Case Rep. Ophthalmol., 3, pp. 410-417, (2012)

[15]

Bowman K.J., A method for quantitative scoring of the farnsworth panel D-15, Acta Ophthalmol., 60, 6, pp. 907-916, (1982)

[16]

Vingrys A.J., King-Smith P.E., A quantitative scoring technique for panel tests of color vision, Invest. Ophthalmol. Vis. Sci., 29, pp. 50-63, (1988)

[17]

Fishman G.A., Et al., Outcome measures and their application in clinical trials for retinal degenerative diseases: Outline, review, and perspective, Retina, 25, pp. 772-777, (2005)

[18]

Kniestedt C., Stamper R.L., Visual acuity and its measurement, Ophthalmol. Clin. North Amer., 16, pp. 155-170, (2003)

[19]

Almagambetov A., Velipasalar S., Baitassova A., Mobile standards-based traffic light detection in assistive devices for individuals with color-vision deficiency, IEEE Trans. Intell. Transp. Syst., 16, 3, pp. 1305-1320, (2015)

[20]

Moshtael H., Aslam T., Underwood I., Dhillon B., High tech aids low vision: A review of image processing for the visually impaired, Transl. Vis. Sci. Technol., 4, 4, (2015)

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