The dynamic Colombian sign language dataset for basic conversation LSC70

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-02-01 DOI:10.1016/j.dib.2024.111213

Jader Alejandro Muñoz Galindez, Leidy Verónica Villota Coral, Rubiel Vargas Cañas

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引用次数: 0

Abstract

Sign language is a form of non-verbal communication used by people with hearing disability. This form of communication relies on the use of signs, gestures, facial expressions, and more. Considering that in Colombia, the population with hearing impairments is around half a million, a database of dynamic, alphanumeric signs and commonly used words was created to establish a basic conversation. For this purpose, 70 non-expert volunteers in Colombian Sign Language participated, and they were recorded against a clear background under uncontrolled lighting and clothing conditions. The dataset was named LSC70 and includes a six-frame transition in JPG format. It is organized into three parts: The first part contains alphanumeric signs at a resolution of 640×480 pixels; the second part includes word signs at a size of 640×480 pixels; and the third part focuses on the dominant hand in alphanumeric signs at 120×120 pixels. Through filtering that removed similar signs, the dataset now contains 35,208 frames with a total of 47 different signs. These images have been validated by experts at the University of Cauca and are available for free use within the research community.

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基本会话的动态哥伦比亚手语数据集LSC70。

手语是听力残疾人士使用的一种非语言交流形式。这种形式的交流依赖于符号、手势、面部表情等的使用。考虑到哥伦比亚的听力障碍人口约为50万，因此创建了一个动态、字母数字符号和常用词汇的数据库，以建立基本的对话。为此，70名非哥伦比亚手语专家志愿者参与其中，他们在没有控制的灯光和服装条件下，在清晰的背景下被记录下来。该数据集被命名为LSC70，包括JPG格式的六帧过渡。它分为三个部分：第一部分包含字母数字符号，分辨率为640×480像素；第二部分包括大小为640×480像素的单词符号；第三部分着重于120×120像素的字母数字符号的优势手。通过过滤去除相似的符号，数据集现在包含35,208帧，共有47个不同的符号。这些图像已经过考卡大学专家的验证，并可在研究界免费使用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.