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Correspondences Between Music and Involuntary Human Micromotion During Standstill

机译:静止状态下音乐与非自愿人类微动之间的对应关系

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摘要

The relationships between human body motion and music have been the focus of several studies characterizing the correspondence between voluntary motion and various sound features. The study of involuntary movement to music, however, is still scarce. Insight into crucial aspects of music cognition, as well as characterization of the vestibular and sensorimotor systems could be largely improved through a description of the underlying links between music and involuntary movement. This study presents an analysis aimed at quantifying involuntary body motion of a small magnitude (micromotion) during standstill, as well as assessing the correspondences between such micromotion and different sound features of the musical stimuli: pulse clarity, amplitude, and spectral centroid. A total of 71 participants were asked to stand as still as possible for 6 min while being presented with alternating silence and music stimuli: Electronic Dance Music (EDM), Classical Indian music, and Norwegian fiddle music (Telespringar). The motion of each participant's head was captured with a marker-based, infrared optical system. Differences in instantaneous position data were computed for each participant and the resulting time series were analyzed through cross-correlation to evaluate the delay between motion and musical features. The mean quantity of motion (QoM) was found to be highest across participants during the EDM condition. This musical genre is based on a clear pulse and rhythmic pattern, and it was also shown that pulse clarity was the metric that had the most significant effect in induced vertical motion across conditions. Correspondences were also found between motion and both brightness and loudness, providing some evidence of anticipation and reaction to the music. Overall, the proposed analysis techniques provide quantitative data and metrics on the correspondences between micromotion and music, with the EDM stimulus producing the clearest music-induced motion patterns. The analysis and results from this study are compatible with embodied music cognition and sensorimotor synchronization theories, and provide further evidence of the movement inducing effects of groove-related music features and human response to sound stimuli. Further work with larger data sets, and a wider range of stimuli, is necessary to produce conclusive findings on the subject.
机译:人体运动与音乐之间的关系已成为表征自愿运动与各种声音特征之间对应关系的几项研究的重点。然而,对音乐非自愿运动的研究仍然很少。通过描述音乐与非自愿运动之间的潜在联系,可以大大改善对音乐认知的关键方面的了解以及对前庭和感觉运动系统的表征。这项研究提出了一项旨在量化静止状态下小幅度不自主运动(微运动)的分析,并评估了这种微运动与音乐刺激的不同声音特征(脉冲清晰度,振幅和频谱质心)之间的对应关系。共有71位参与者被要求尽可能静止不动6分钟,同时被给予交替的沉默和音乐刺激:电子舞曲(EDM),古典印度音乐和挪威小提琴音乐(Telespringar)。每个参与者的头部的动作都通过基于标记的红外光学系统捕获。计算每个参与者的瞬时位置数据的差异,并通过互相关分析所得时间序列,以评估运动和音乐特征之间的延迟。发现在EDM状态下,参与者的平均运动量(QoM)最高。这种音乐体裁基于清晰的脉搏和节奏模式,并且还表明,脉搏清晰度是在跨条件引起的垂直运动中影响最大的指标。在运动与亮度和响度之间也发现了对应关系,为音乐的预期和反应提供了一些证据。总体而言,所提出的分析技术提供了有关微动和音乐之间对应关系的定量数据和度量,而EDM刺激产生了最清晰的音乐诱发的运动模式。这项研究的分析和结果与具体的音乐认知和感觉运动同步理论兼容,并提供了与凹槽相关的音乐特征的运动诱发效应和人类对声音刺激的反应的进一步证据。为了得出关于该主题的结论性发现,有必要对更大的数据集和更大范围的刺激进行进一步的研究。

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