应用基于物联网技术的多式联络感知场景构建在大学音乐教学中的应用
1Music College, Hubei Normal University, Huangshi, Hubei, China.
PeerJ. Computer science
|December 11, 2023
概括
这项研究引入了一种新的多式联络方法,通过合并声音和运动数据来评估音乐学生. 这种智能系统达到95.7%的准确性,增强了音乐教育和交互式课堂评估.
科学领域:
- 音乐教育 技术 音乐教育 技术
- 教育中的人工智能
- 多式联络学习分析
背景情况:
- 传统的音乐教育评估主要依赖于听觉反.
- 评估学生的运动为全面的绩效分析提供了额外的见解.
- 智能系统对于提高教育中人才培养和发展至关重要.
研究的目的:
- 为大学音乐教学开发一种新的多式联通信息融合评估方法.
- 整合声音和运动数据,以便更全面地评估学生的学习状态.
- 提高评估学生在音乐表演中的学术效率的准确性和效率.
主要方法:
- 使用物联网 (IoT) 设备 (麦克风,摄像头) 来获取数据.
- 使用Mel尺度频率切布斯特拉系数 (MFCC) 提取的声音特征.
- 采用深度学习 (OpenPose,CNN) 进行动作特征提取和多式联结,并使用完全连接的网络 (FCN) 进行最终评估.
主要成果:
- 多式联动融合方法在评估学生的"优秀"",好"和"失败"类别中取得了95.7%的准确性.
- 与传统的基于教师的评估相比,表现优越.
- 成功地整合了声音和运动数据,以进行全面的学生评估.
结论:
- 这种新的方法为推进音乐教学方法提供了重要的见解.
- 为音乐教育中的交互式课堂评估提供了一个新的范式.
- 扩大了多式联运信息融合在教育环境中的应用范围.
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