UAlpha40:巴基斯坦手语乌尔都语字母的综合数据集
Sameena Javaid1, Shahood Sajid1, Yusra Khan Baloch1
1Department of Computer Science, School of Engineering Sciences, Bahria University, Karachi, Pakistan.
Data in brief
|February 25, 2025
概括
研究人员开发了乌尔都语手语 (USL) 的UAlpa40数据集,包括动态手势. 这个资源有助于创建先进的巴基斯坦手语 (PSL) 技术.
科学领域:
- 计算机视觉 计算机视觉
- 自然语言处理自然语言处理.
- 语言学的语言学.
背景情况:
- 手语 (SL) 对于聋人社区的沟通至关重要.
- 巴基斯坦的乌尔都语手语 (USL) 包含40个字母:36个静态手势和4个动态手势.
- 巴基斯坦手语 (PSL) 的现有研究和开发已经忽视了动态的手势.
研究的目的:
- 解决美国手语中动态手势表达的差距.
- 在PSL中创建乌尔都语字母表的综合数据集.
- 促进开发基于视觉的深度学习模型,用于USL.
主要方法:
- 汇编了UAlpa40数据集,包括22,280张图像和393张视频.
- 包括静态 (36) 和动态 (4) 的乌尔都语字母.
- 在现实环境中收集数据,由专家监督和多样化的志愿者组成.
主要成果:
- UAlpa40数据集代表了所有40个乌尔都语字母,包括以前被忽视的动态手势.
- 数据集由原始和增强图像组成,确保全面覆盖.
- 该数据集适合用于为USL应用程序培训深度学习模型.
结论:
- UAlpa40数据集对PSL的研究和开发做出了重大贡献.
- 这一数据集可以加速为美国手语创建手语翻译器和手指拼写系统.
- 由于这种全面资源的可用性,预计未来USL技术的进步将会有所增加.
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