{"title":"Research on the visualization of information of Chinese traditional music with human-computer interaction from the perspective of metaverse","authors":"Yujing Cao, Jinwan Park","doi":"10.32629/jai.v7i3.1361","DOIUrl":null,"url":null,"abstract":"In the metaverse environment, establish an immersive human-computer interaction system for Chinese traditional music based on virtual reality technology. Design the system’s functionality according to the Y model, and construct a four-layered system architecture. Collect high-quality instructional audio and utilize polygon modeling technology to create contextualized scenes of Chinese traditional music, as well as high-fidelity models of characters and instruments. Implement motion capture through inertial sensor technology for performance action data mapping. Utilize a metaverse engine platform to realize interactive functions and conduct performance optimization. The system is capable of eliciting learners’ intrinsic experiences, enabling interactive self-directed learning and creative exploration of Chinese traditional music performance, demonstrating significant practical value.","PeriodicalId":508223,"journal":{"name":"Journal of Autonomous Intelligence","volume":"52 3","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Autonomous Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32629/jai.v7i3.1361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In the metaverse environment, establish an immersive human-computer interaction system for Chinese traditional music based on virtual reality technology. Design the system’s functionality according to the Y model, and construct a four-layered system architecture. Collect high-quality instructional audio and utilize polygon modeling technology to create contextualized scenes of Chinese traditional music, as well as high-fidelity models of characters and instruments. Implement motion capture through inertial sensor technology for performance action data mapping. Utilize a metaverse engine platform to realize interactive functions and conduct performance optimization. The system is capable of eliciting learners’ intrinsic experiences, enabling interactive self-directed learning and creative exploration of Chinese traditional music performance, demonstrating significant practical value.
在元宇宙环境中,建立基于虚拟现实技术的中国传统音乐沉浸式人机交互系统。根据 Y 模型设计系统功能,构建四层系统架构。收集高质量的教学音频,利用多边形建模技术创建中国传统音乐的情境化场景,以及高保真的人物和乐器模型。通过惯性传感器技术实现动作捕捉,绘制表演动作数据图。利用元数据引擎平台实现交互功能,并进行性能优化。该系统能够激发学习者的内在体验,实现交互式自主学习和对中国传统音乐表演的创造性探索,具有重要的实用价值。