萨特里亚舞的数据集:阿萨姆的古典舞
Chayanika Sarmah1, Parismita Sarma1
1Department of Information Technology, Gauhati University, Guwahati, Assam 781014, India.
Data in brief
|January 4, 2024
概括
研究人员为机器学习创建了一个Sattriya舞蹈手势数据集. 这一数据集有助于开发自动化系统来解释复杂的印度古典舞蹈mudras.
科学领域:
- 表演艺术表演艺术
- 计算机科学 计算机科学
- 数字人文学科 数字人文学科
背景情况:
- 萨特里亚 (Sattriya) 是来自阿萨姆邦的印度古典舞蹈,它利用复杂的手势 (mudras),其含义往往对普通人来说是模糊的.
- 了解这些穆德拉对于欣赏和保存这种传统艺术形式至关重要.
- 现有的研究缺乏全面的数据集,用于对Sattriya mudras进行计算分析.
研究的目的:
- 创建一个专业的数据集的萨特里亚双手手势 (mudras).
- 促进机器学习和深度学习模型的开发,用于自动化mudra识别.
- 为研究印度古典舞蹈和计算语言学的研究人员提供一个有价值的资源.
主要方法:
- 收集了来自阿萨姆州古瓦哈蒂各个学院的50名专业舞者八种不同的萨特里亚双手mudras的数据集.
- 使用Mendeley平台进行数据集存储和组织.
- 采用流域细分技术进行mudra图像分析和特征提取.
主要成果:
- 一个精心策划的Sattriya双手mudras数据集现在可用于研究目的.
- 分析包括详细的表格,说明了mudra变体,标题和与其他印度古典舞蹈形式的比较.
- 鉴定了萨特里亚穆德拉斯对学术研究有益的特定特征.
结论:
- 开发的数据集是推进萨特里亚舞蹈分析计算方法的基础资源.
- 这项工作弥合了传统表演艺术和现代人工智能技术之间的差距.
- 这些发现在数字存档,教育工具和跨文化研究中提供了潜在的应用.
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