@inproceedings{0d60a51b294d4440a3220948eeba90fb,
title = "Supporting everyday activities for persons with visual impairments through computer vision-augmented touch",
abstract = "The HandSight project investigates how wearable micro-cameras can be used to augment a blind or visually impaired user's sense of touch with computer vision. Our goal is to support an array of activities of daily living by sensing and feeding back non-tactile information (e.g., color, printed text, patterns) about an object as it is touched. In this poster paper, we provide an overview of the project, our current proof-of-concept prototype, and a summary of findings from finger-based text reading studies. As this is an early-stage project, we also enumerate current open questions.",
keywords = "Blind, Computer vision, Vision-augmented touch, Visually impaired, Wearable computing",
author = "Leah Findlater and Lee Stearns and Ruofei Du and Uran Oh and David Ross and Rama Chellappa and Froehlich, {Jon E.}",
note = "Publisher Copyright: {\textcopyright} 2015 ACM.; null ; Conference date: 26-10-2015 Through 28-10-2015",
year = "2015",
month = oct,
day = "26",
doi = "10.1145/2700648.2811381",
language = "English",
series = "ASSETS 2015 - Proceedings of the 17th International ACM SIGACCESS Conference on Computers and Accessibility",
publisher = "Association for Computing Machinery, Inc",
pages = "383--384",
booktitle = "ASSETS 2015 - Proceedings of the 17th International ACM SIGACCESS Conference on Computers and Accessibility",
}