Recog: Supporting blind people in recognizing personal objects
Conference Paper, Proceedings of CHI Conference on Human Factors in Computing Systems (CHI '20), April, 2020
Abstract
We present ReCog, a mobile app that enables blind users to recognize objects by training a deep network with their own photos of such objects. This functionality is useful to differentiate personal objects, which cannot be recognized with pre-trained recognizers and may lack distinguishing tactile features. To ensure that the objects are well-framed in the captured photos, ReCog integrates a camera-aiming guidance that tracks target objects and instructs the user through verbal and sonification feedback to appropriately frame them.
BibTeX
@conference{Ahmetovic-2020-126509,author = {Dragan Ahmetovic and Daisuke Sato and Uran Oh and Tatsuya Ishihara and Kris Kitani and Chieko Asakawa},
title = {Recog: Supporting blind people in recognizing personal objects},
booktitle = {Proceedings of CHI Conference on Human Factors in Computing Systems (CHI '20)},
year = {2020},
month = {April},
}
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