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通过频率调制在定时节律行为中合成不对称运动轨迹

Synthesis of asymmetric movement trajectories in timed rhythmic behaviour by means of frequency modulation.

作者信息

Waadeland Carl Haakon

机构信息

Department of Music, Norwegian University of Science and Technology, Trondheim, Norway.

出版信息

Hum Mov Sci. 2017 Jan;51:112-124. doi: 10.1016/j.humov.2016.12.002. Epub 2016 Dec 23.

Abstract

Results from different empirical investigations on gestural aspects of timed rhythmic movements indicate that the production of asymmetric movement trajectories is a feature that seems to be a common characteristic of various performances of repetitive rhythmic patterns. The behavioural or neural origin of these asymmetrical trajectories is, however, not identified. In the present study we outline a theoretical model that is capable of producing syntheses of asymmetric movement trajectories documented in empirical investigations by Balasubramaniam et al. (2004). Characteristic qualities of the extension/flexion profiles in the observed asymmetric trajectories are reproduced, and we conduct an experiment similar to Balasubramaniam et al. (2004) to show that the empirically documented movement trajectories and our modelled approximations share the same spectral components. The model is based on an application of frequency modulated movements, and a theoretical interpretation offered by the model is to view paced rhythmic movements as a result of an unpaced movement being "stretched" and "compressed", caused by the presence of a metronome. We discuss our model construction within the framework of event-based and emergent timing, and argue that a change between these timing modes might be reflected by the strength of the modulation in our model.

摘要

关于定时节律运动的手势方面的不同实证研究结果表明,产生不对称运动轨迹是一个特征,似乎是重复节律模式的各种表现的共同特点。然而,这些不对称轨迹的行为或神经起源尚未确定。在本研究中,我们概述了一个理论模型,该模型能够生成由Balasubramaniam等人(2004年)的实证研究所记录的不对称运动轨迹的合成。观察到的不对称轨迹中的伸展/屈曲轮廓的特征性质被重现,并且我们进行了一个与Balasubramaniam等人(2004年)类似的实验,以表明实证记录的运动轨迹和我们建模的近似值具有相同的频谱成分。该模型基于调频运动的应用,并且该模型提供的理论解释是将有节奏的节律运动视为由于节拍器的存在而使无节奏运动被“拉伸”和“压缩”的结果。我们在基于事件和涌现定时的框架内讨论我们的模型构建,并认为这些定时模式之间的变化可能由我们模型中的调制强度反映出来。

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