利用多种控制器开发了一个跨平台的科林堂乐器多人虚拟应用

Liza Wikarsa, D. Paseru, Vianry Teguh Pangemanan
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引用次数: 3

摘要

Kolintang(印尼的木琴)作为一种来自北苏拉威西省米纳哈萨的传统乐器在全国范围内很受欢迎。它通常在祭祖仪式中演奏,因为人们认为科林堂与北苏拉威西土著人的传统信仰和文化有着密切的关系。目前,有几个Kolintang开发的应用程序可以在Windows和Android上运行,并使用不同类型的控制器,如网络摄像头、触摸屏和键盘。尽管存在差异,但这些应用程序只能由单个玩家在不使用互联网连接的情况下离线播放。此外,本文没有深入讨论如何测试这些应用程序的性能。因此,本研究将开发一个更先进的Kolintang应用程序,可以让多人同时在多个平台上玩,基于Android和Windows,使用各种控制器,如网络摄像头,键盘,鼠标或触摸屏。研究结果显示,在两到三米长的范围内,这种相互作用的可视化效果最好。此应用程序的声音范围对人类听力是安全的。均方根误差(RMSE)和平均绝对误差(MAE)测试只能用于测量来自应用程序的实时听觉反馈,因为没有可用的理想数据模型来测量声音范围和应用程序加载时间。此应用程序的加载时间比以前开发的任何柯林塘应用程序都要快。该应用程序需要通过诊断一组预测中误差的变化来进一步改进实时听觉反馈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The development of a cross-platform multi-player virtual application of Kolintang musical instruments using various controllers
Kolintang (Indonesian's xylophones) is popular nationwide as the traditional music instruments from Minahasa, a regency in North Sulawesi. It is usually played in ancestor worshipping rituals as it was believed that Kolintang had a close relationship with the traditional belief of North Sulawesi's natives and as their culture. Currently, there are several Kolintang applications developed that run either on Windows and Android and use different types of controllers like a web camera, touch screen, and keyboard. Despite their differences, these applications are played offline by a single player only without using an Internet connection. In addition, there is no depth discussion on how the performance of these applications was tested. Thus, this research will develop a more advance Kolintang application that can be played by multiple players simultaneously on multiple platforms, Android and Windows Based, using various controllers such as webcam, keyboard, mouse, or touch screen. The findings revealed that the interaction is best visualized within the range of two to three meters long. The sounding range of this application is safe for human hearing. The Root mean square error (RMSE) and Mean Absolute Error (MAE) tests can only be done to measure the real time auditory feedback from the application since there is no avail ideal data model for sounding range and application load time. The loading time for this application is faster than any Kolintang applications that have been previously developed. This application needs further improvements on the real time auditory feedbacks by diagnosing the variation in the errors in a set of forecasts.
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