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This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM, Uslan M, Schuchard RA. Evaluating Barten image metric.

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Presentation on theme: "This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM, Uslan M, Schuchard RA. Evaluating Barten image metric."— Presentation transcript:

1 This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM, Uslan M, Schuchard RA. Evaluating Barten image metric for predicting character recognition in people with low vision. J Rehabil Res Dev. 2013;50(10):1343–52. http://dx.doi.org/10.1682/JRRD.2012.09.0164 Slideshow Project DOI:10.1682/JRRD.2012.09.0164JSP Evaluating Barten image metric for predicting character recognition in people with low vision Kimberly A. Schoessow, OTD, OTR/L; Lisa M. Mauney, MS; Mark Uslan, MS; Ronald A. Schuchard, PhD

2 This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM, Uslan M, Schuchard RA. Evaluating Barten image metric for predicting character recognition in people with low vision. J Rehabil Res Dev. 2013;50(10):1343–52. http://dx.doi.org/10.1682/JRRD.2012.09.0164 Slideshow Project DOI:10.1682/JRRD.2012.09.0164JSP Aim – Explore whether Barten square root integral (SQRI) can predict ability of users with low vision to see images on small visual displays (SVDs) on electronic devices. Relevance – Electronic devices with SVDs are often inaccessible to people with vision loss. – Barten SQRI is image-quality metric already shown to predict whether people with normal vision can see images on cathode ray tube monitor.

3 This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM, Uslan M, Schuchard RA. Evaluating Barten image metric for predicting character recognition in people with low vision. J Rehabil Res Dev. 2013;50(10):1343–52. http://dx.doi.org/10.1682/JRRD.2012.09.0164 Slideshow Project DOI:10.1682/JRRD.2012.09.0164JSP Method Used Barten SQRI and Pelli-Robson Contrast Sensitivity Chart to predict whether 33 people with low vision could recognize low-contrast single digits on screen.

4 This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM, Uslan M, Schuchard RA. Evaluating Barten image metric for predicting character recognition in people with low vision. J Rehabil Res Dev. 2013;50(10):1343–52. http://dx.doi.org/10.1682/JRRD.2012.09.0164 Slideshow Project DOI:10.1682/JRRD.2012.09.0164JSP Results Visual acuity could not significantly predict ability to read low-contrast characters on a display.

5 This article and any supplementary material should be cited as follows: Schoessow KA, Mauney LM, Uslan M, Schuchard RA. Evaluating Barten image metric for predicting character recognition in people with low vision. J Rehabil Res Dev. 2013;50(10):1343–52. http://dx.doi.org/10.1682/JRRD.2012.09.0164 Slideshow Project DOI:10.1682/JRRD.2012.09.0164JSP Conclusion Future work: – Explore whether Barten SQRI can predict ability of people with low vision to use actual devices with SVDs.

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