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Toward Enabling a Natural Interaction between Human Musicians and Musical Performance Robots: Implementation of a Real-Time Gestural Interface

机译:为了实现人类音乐家和音乐绩效机器人之间的自然互动:实现实时手势界面

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Our research aims to develop an anthropomorphic flutist robot as a benchmark for the better understanding of interaction between musicians and musical performance robots from a musical point of view. As a long-term goal of our research, we would like to enable such robots to play actively together with a human band, and create novel ways of musical expression. For this purpose, we focus on enhancing the perceptual capabilities of the flutist robot to process musical information coming from the aural and visual perceptual channels. In this paper, we introduce, as a first approach, a hands-free gesture-based control interface designed to modify musical parameters in real-time. In particular, we describe a set of virtual controllers, that a composer can manipulate through gestures of with a musical instrument. The gestures are identified by 2-D motion sensitive areas which graphically represent common control interfaces used in music production. The resulting information from the vision processing is then transformed into MIDI messages, which are subsequently played by the flute robot. In order to verify the effectiveness of the proposed gestural interface, we performed experiments to musically interact with musical partners. From the experimental results we concluded that our method satisfies the technical and idiosyncratic requirements for being a suitable tool for musical performance.
机译:我们的研究旨在开发一个人拟人的火炬机器人,作为从音乐角度来了解音乐家和音乐表演机器人之间的互动的基准。作为我们研究的长期目标,我们希望能够与人类乐队一起积极地发挥此类机器人,并创造新颖的音乐表达方式。为此目的,我们专注于提高马车机器人的感知能力来处理来自听觉和视觉感知渠道的音乐信息。在本文中,我们作为第一种方法介绍了一种无人驾驶手势的控制界面,旨在实时修改音乐参数。特别是,我们描述了一组虚拟控制器,作曲家可以通过乐器的手势操纵。该手势由2-D运动敏感区域识别,其以音乐生产在图形方式表示用于音乐生产中的常用控制接口。然后将来自视觉处理的所得到的信息转换为MIDI消息,随后由长笛机器人播放。为了验证所提出的手势界面的有效性,我们对与音乐伙伴的音乐互动进行了实验。从实验结果来看,我们得出的结论是,我们的方法满足了对音乐表现合适工具的技术和特殊要求。

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