应用基于物联网 (IoT) 技术的多模式感知场景构建在艺术教学中的应用
Haiwen Wang1,2, Yahui Wang1, Juan Jin3
1School of Humanities and Arts, Macau University of Science and Technology, Macau, China.
PeerJ. Computer science
|June 10, 2024
概括
本研究介绍了一种使用物联网 (IoT) 技术的多式联络感知系统,以增强艺术教育. 该系统集成了各种传感器,提供更丰富的学习体验,在任务识别中达到96.15%的准确性.
科学领域:
- 教育技术的教育技术
- 人与计算机的交互
- 艺术教学艺术教学
背景情况:
- 当代艺术教育面临着一维内容交付和有限的实时交互的挑战.
- 现有的方法往往无法吸引多种感官,阻碍了深度学习和经验忠实.
研究的目的:
- 开发和评估使用物联网 (IoT) 技术的多式联络感知系统,以解决艺术教育的局限性.
- 创建一个新的艺术教学框架,整合多感官交互,以增强学习.
主要方法:
- 实施了一个基于物联网的系统,通过各种传感器捕获视觉,听觉,空间和环境数据.
- 使用DenseNet进行视觉特征提取,使用SoundNet进行语音特征提取.
- 采用Mel频 cepstral系数 (MFCC) 和长期短期记忆 (LSTM) 分类器用于任务识别.
主要成果:
- 实现了96.15%的任务识别精度,平均响应时间为6.453秒.
- 该系统在体验忠实性,现实主义,互动性和内容深度方面取得了显著的改进.
- 在多式联络感知交互系统评估中表现优于可比模型.
结论:
- 开发的多式联络系统为艺术教学提供了一个新且有效的框架.
- 整合多感官互动显著提高艺术教育质量和学习效率.
- 这种方法通过克服单一感官参与的局限性来优化艺术教育.
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