一个基于Therblig分析和YOLO模型的姿势训练系统,以Erhu鞠躬为例
Bonnie Lu1, Chao-Li Meng1, Chyi-Ren Dow1
1Department of Information Engineering and Computer Science, Feng Chia University, Taichung 40724, Taiwan.
Sensors (Basel, Switzerland)
|February 13, 2025
概括
本研究介绍了一种计算机辅助的erhu鞠躬训练系统,使用You Only Look Once (YOLO) -OD模型. 该系统分析游戏表现,为erhu学习者提供实时反以改进技巧.
科学领域:
- 音乐 技术 音乐 技术
- 计算机科学 计算机科学
- 表演艺术教育教育 表演艺术教育
背景情况:
- 计算机辅助学习为分析音乐表现和确定需要改进的领域提供了潜力.
- 传统的erhu教学可以从客观反机制中受益,以提高技术.
- 对弓技术的客观分析对于技能发展至关重要.
研究的目的:
- 开发一种计算机化系统,用于以"你只看一次" (YOLO) -OD模型的erhu鞠躬训练.
- 为ERHU学习者提供独立的实践工具,提供绩效分析和实时反.
- 帮助教育工作者识别和解决学生所面临的特定挑战.
主要方法:
- 使用therblig分析将erhu曲过程细分和分析成关键步骤.
- 一个你只看一次 (YOLO) -OD模型被开发用于检测和跟踪Erhu鞠躬运动中的关键物体.
- 创建了弓道水平和弓道直度的评分方法,并将其整合到训练系统中.
主要成果:
- 开发的系统成功地检测和跟踪使用YOLO-OD模型的关键ERHU曲部件.
- 该系统为弓道水平和弓道直度提供客观分数,使学习者能够进行自我评估.
- 实时反和对错误的动作和姿势的警报有助于立即纠正技术.
结论:
- 计算机化ERHU弓道训练系统通过提供详细的绩效反来增强独立练习.
- 该系统使erhu学习者能够通过客观评分和实时纠正指导来完善他们的技术.
- 教师可以利用系统的数据提供有针对性的教学和提高学生的学习成果.
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