Name
Abstract | ||
|---|---|---|
People with severe visual impairments usually have no way of identifying the colors of objects in their environment. While existing smartphone apps can recognize colors and speak them aloud, they require the user to center the object of interest in the camera's field of view, which is challenging for many users. We developed a smartphone app to address this problem that reads aloud the color of the object pointed to by the user's fingertip, without confusion from background colors. We evaluated the app with nine people who are blind, demonstrating the app's effectiveness and suggesting directions for improvements in the future.
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Year | DOI | Venue |
|---|---|---|
2017 | 10.1145/3132525.3134802 | ASSETS |
Keywords | Field | DocType |
Accessibility systems and tools,Accessibility technologies,Assistive Technology,Color Detection,Computing methodologies → Object recognition,Hand Recognition,Human-centered computing → Empirical studies in accessibility,Mobile computing | Field of view,Color detection,Confusion,Computer science,Human–computer interaction,Multimedia,Natural user interface | Conference |
Volume | ISBN | Citations |
2017 | 978-1-4503-4926-0 | 0 |
PageRank | References | Authors |
0.34 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Mascetti | 1 | 494 | 39.13 |
| Andrea Gerino | 2 | 62 | 6.73 |
| Cristian Bernareggi | 3 | 155 | 19.98 |
| Silvia D'Acquisto | 4 | 0 | 0.34 |
| Mattia Ducci | 5 | 1 | 1.79 |
| James Coughlan | 6 | 1133 | 154.73 |