音乐表演中脑波驱动的效果自动化

Giorgos Filandrianos, Natalia Kotsani, Edmund Dervakos, G. Stamou, Vaios Amprazis, Panagiotis Kiourtzoglou
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引用次数: 0

摘要

具有多种传感器和功能的各种控制器最大限度地提高了实时性。这个项目背后的想法是创建一个界面,使表演者和效果处理器之间的互动能够测量他们的脑电波振幅,例如alpha, beta, theta, delta和gamma,而不一定是用户的意识。我们通过使用脑电图(EEG)传感器来检测表演者的不同情绪状态,并在此基础上向数字处理单元自动化发送midi消息来实现这一目标。其目的是创造新一代的数字处理器单元,可以根据表演者或观众的情绪或想法自动实时配置。通过在艺术表现的几个方面引入情绪状态信息的实时控制,我们突出了惊喜和独特性在艺术表现中的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brainwaves-driven Effects Automation in Musical Performance
A variety of controllers with multifarious sensors and functions have maximized the real time performers control capa-bilities. The idea behind this project was to create an inter-face which enables the interaction between the performers and the effect processor measuring their brain waves am-plitudes, e.g., alpha, beta, theta, delta and gamma, not necessarily with the user’s awareness. We achieved this by using an electroencephalography (EEG) sensor for detecting performer’s different emotional states and, based on these, sending midi messages for digital processing units automation. The aim is to create a new generation of digital processor units that could be automatically configured in real-time given the emotions or thoughts of the performer or the audience. By introducing emotional state information in the real time control of several aspects of artistic expression, we highlight the impact of surprise and uniqueness in the artistic performance.
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