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引用本文的文献

1
Towards Accessible Audio Labeling of 3D Objects.迈向3D物体的无障碍音频标注
J Technol Pers Disabil. 2020;8:210-222.
2
Hands Holding Clues for Object Recognition in Teachable Machines.手中线索助力可教机器进行物体识别。
Proc SIGCHI Conf Hum Factor Comput Syst. 2019 May;2019. doi: 10.1145/3290605.3300566.

JustPoint:通过自然用户界面识别颜色。

JustPoint: Identifying Colors with a Natural User Interface.

作者信息

Mascetti Sergio, D'Acquisto Silvia, Gerino Andrea, Ducci Mattia, Bernareggi Cristian, Coughlan James M

机构信息

Università degli Studi di Milano and EveryWare Technologies.

Università degli Studi di Milano.

出版信息

ASSETS. 2017 Oct-Nov;2017:329-330. doi: 10.1145/3132525.3134802.

DOI:10.1145/3132525.3134802
PMID:29218331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5714614/
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.

摘要

严重视力障碍者通常无法识别周围环境中物体的颜色。虽然现有的智能手机应用程序可以识别颜色并大声说出,但它们要求用户将感兴趣的物体置于相机视野中心,这对许多用户来说具有挑战性。我们开发了一款智能手机应用程序来解决这个问题,它可以大声读出用户指尖所指物体的颜色,而不会受到背景颜色的干扰。我们对九名盲人用户进行了该应用程序的评估,证明了其有效性,并为未来的改进指明了方向。