Democratizing Optometric Care: A Vision-Based, Data-Driven Approach to Automatic Refractive Error Measurement for Vision Screening

Tiffany C.K. Kwok; Naomi C.M. Shum; Grace Ngai; Hong Va Leong; Grace Amy Tseng; Hoi Yi Choi; Ka Yan Mak; Chi Wai Do

doi:10.1109/ISM.2015.55

Democratizing Optometric Care: A Vision-Based, Data-Driven Approach to Automatic Refractive Error Measurement for Vision Screening

Tiffany C.K. Kwok, Naomi C.M. Shum, Grace Ngai, Hong Va Leong, Grace Amy Tseng, Hoi Yi Choi, Ka Yan Mak, Chi Wai Do

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

3 Citations (Scopus)

Abstract

We present a vision-based, data-driven approach to identifying and measuring refractive errors in human subjects with low-cost, easily available equipment and no specialist training. Vision problems, such as refractive error (e.g. nearsightedness, astigmatism, etc) are common ocular problems, which, if uncorrected, may lead to serious visual impairment. The diagnosis of such defects conventionally requires expensive specialist equipment and trained personnel, which is a barrier in many parts of the developing world. Our approach aims to democratize optometric care by utilizing the computational power inherent in consumer-grade devices and the advances made possible by multimedia computing. We present results that show our system is able to match and outperform state-of-the-art medical devices under certain conditions.

Original language	English
Title of host publication	Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015
Publisher	IEEE
Pages	7-12
Number of pages	6
ISBN (Electronic)	9781509003792
DOIs	https://doi.org/10.1109/ISM.2015.55
Publication status	Published - 25 Mar 2016
Event	17th IEEE International Symposium on Multimedia, ISM 2015 - Miami, United States Duration: 14 Dec 2015 → 16 Dec 2015

Conference

Conference	17th IEEE International Symposium on Multimedia, ISM 2015
Country/Territory	United States
City	Miami
Period	14/12/15 → 16/12/15

Keywords

computer-aided diagnosis
refractive errors
smartphone refraction
vision screening

ASJC Scopus subject areas

Computer Science Applications
Hardware and Architecture
Software
Computer Networks and Communications

More information

10.1109/ISM.2015.55

http://hdl.handle.net/10397/105721

Cite this

Kwok, T. C. K., Shum, N. C. M., Ngai, G., Leong, H. V., Tseng, G. A., Choi, H. Y., Mak, K. Y., & Do, C. W. (2016). Democratizing Optometric Care: A Vision-Based, Data-Driven Approach to Automatic Refractive Error Measurement for Vision Screening. In Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015 (pp. 7-12). Article 7442268 IEEE. https://doi.org/10.1109/ISM.2015.55

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title = "Democratizing Optometric Care: A Vision-Based, Data-Driven Approach to Automatic Refractive Error Measurement for Vision Screening",

abstract = "We present a vision-based, data-driven approach to identifying and measuring refractive errors in human subjects with low-cost, easily available equipment and no specialist training. Vision problems, such as refractive error (e.g. nearsightedness, astigmatism, etc) are common ocular problems, which, if uncorrected, may lead to serious visual impairment. The diagnosis of such defects conventionally requires expensive specialist equipment and trained personnel, which is a barrier in many parts of the developing world. Our approach aims to democratize optometric care by utilizing the computational power inherent in consumer-grade devices and the advances made possible by multimedia computing. We present results that show our system is able to match and outperform state-of-the-art medical devices under certain conditions.",

keywords = "computer-aided diagnosis, refractive errors, smartphone refraction, vision screening",

author = "Kwok, {Tiffany C.K.} and Shum, {Naomi C.M.} and Grace Ngai and Leong, {Hong Va} and Tseng, {Grace Amy} and Choi, {Hoi Yi} and Mak, {Ka Yan} and Do, {Chi Wai}",

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doi = "10.1109/ISM.2015.55",

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booktitle = "Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015",

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Kwok, TCK, Shum, NCM, Ngai, G , Leong, HV, Tseng, GA, Choi, HY, Mak, KY & Do, CW 2016, Democratizing Optometric Care: A Vision-Based, Data-Driven Approach to Automatic Refractive Error Measurement for Vision Screening. in Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015., 7442268, IEEE, pp. 7-12, 17th IEEE International Symposium on Multimedia, ISM 2015, Miami, United States, 14/12/15. https://doi.org/10.1109/ISM.2015.55

Democratizing Optometric Care: A Vision-Based, Data-Driven Approach to Automatic Refractive Error Measurement for Vision Screening. / Kwok, Tiffany C.K.; Shum, Naomi C.M.; Ngai, Grace et al.
Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015. IEEE, 2016. p. 7-12 7442268.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Kwok, Tiffany C.K.

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AU - Ngai, Grace

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AU - Tseng, Grace Amy

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AU - Mak, Ka Yan

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AB - We present a vision-based, data-driven approach to identifying and measuring refractive errors in human subjects with low-cost, easily available equipment and no specialist training. Vision problems, such as refractive error (e.g. nearsightedness, astigmatism, etc) are common ocular problems, which, if uncorrected, may lead to serious visual impairment. The diagnosis of such defects conventionally requires expensive specialist equipment and trained personnel, which is a barrier in many parts of the developing world. Our approach aims to democratize optometric care by utilizing the computational power inherent in consumer-grade devices and the advances made possible by multimedia computing. We present results that show our system is able to match and outperform state-of-the-art medical devices under certain conditions.

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Democratizing Optometric Care: A Vision-Based, Data-Driven Approach to Automatic Refractive Error Measurement for Vision Screening

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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