@inproceedings{9560e02503084041bfd8ef0c40e91e53,
title = "The design and preliminary evaluation of a finger-mounted camera and feedback system to enable reading of printed text for the blind",
abstract = "We introduce the preliminary design of a novel vision-augmented touch system called HandSight intended to support activities of daily living (ADLs) by sensing and feeding back non-tactile information about the physical world as it is touched. Though we are interested in supporting a range of ADL applications, here we focus specifically on reading printed text. We discuss our vision for HandSight, describe its current implementation and results from an initial performance analysis of finger-based text scanning. We then present a user study with four visually impaired participants (three blind) exploring how to continuously guide a user{\textquoteright}s finger across text using three feedback conditions (haptic, audio, and both). Though preliminary, our results show that participants valued the ability to access printed material, and that, in contrast to previous findings, audio finger guidance may result in the best reading performance.",
keywords = "Accessibility, Real-time OCR, Text reading for blind, Wearables",
author = "Lee Stearns and Ruofei Du and Uran Oh and Yumeng Wang and Leah Findlater and Rama Chellappa and Froehlich, {Jon E.}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 13th European Conference on Computer Vision, ECCV 2014 ; Conference date: 06-09-2014 Through 12-09-2014",
year = "2015",
doi = "10.1007/978-3-319-16199-0_43",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "615--631",
editor = "Carsten Rother and Lourdes Agapito and Bronstein, {Michael M.}",
booktitle = "Computer Vision - ECCV 2014 Workshops, Proceedings",
}