An analysis of basic expressive qualities in instrumental conducting

Kyungho Lee, Michael J. Junokas, M. Amanzadeh, Guy E. Garnett
{"title":"An analysis of basic expressive qualities in instrumental conducting","authors":"Kyungho Lee, Michael J. Junokas, M. Amanzadeh, Guy E. Garnett","doi":"10.1145/2790994.2791005","DOIUrl":null,"url":null,"abstract":"Advances in sensing technology make the task of quantifying expressive human body movement more feasible than ever before. Success will enable breakthroughs in Human-computer interaction (HCI) and control paradigms. In most areas, however, expressivity remains vague and difficult to define. We examine the movements of instrumental conductors at an elementary level to define particular qualities of a beat. In our test case, we focus on the difference between sostenuto and staccato articulation styles as a base for expressive qualities. We show that it is possible to define generic low-level movement features, we call movement primitives, to quantify the qualitative aspects of these two different articulation styles across a range of different tempi. Our movement primitives include the mean and variance of the magnitude of velocity and acceleration, and measures of spatial curvature. Each of these is measured from the ictus of one beat through the ictus of the next beat in a standard 4/4 beat pattern. The discriminative power of these features is demonstrated by two-tail t-tests and verified through Naïve Bayes classification experiments. The results demonstrate that our use of movement primitives effectively describes characteristics of expression revealed in each beat of two different articulation styles.","PeriodicalId":272811,"journal":{"name":"Proceedings of the 2nd International Workshop on Movement and Computing","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2nd International Workshop on Movement and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2790994.2791005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Advances in sensing technology make the task of quantifying expressive human body movement more feasible than ever before. Success will enable breakthroughs in Human-computer interaction (HCI) and control paradigms. In most areas, however, expressivity remains vague and difficult to define. We examine the movements of instrumental conductors at an elementary level to define particular qualities of a beat. In our test case, we focus on the difference between sostenuto and staccato articulation styles as a base for expressive qualities. We show that it is possible to define generic low-level movement features, we call movement primitives, to quantify the qualitative aspects of these two different articulation styles across a range of different tempi. Our movement primitives include the mean and variance of the magnitude of velocity and acceleration, and measures of spatial curvature. Each of these is measured from the ictus of one beat through the ictus of the next beat in a standard 4/4 beat pattern. The discriminative power of these features is demonstrated by two-tail t-tests and verified through Naïve Bayes classification experiments. The results demonstrate that our use of movement primitives effectively describes characteristics of expression revealed in each beat of two different articulation styles.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
器乐指挥的基本表现特征分析
传感技术的进步使得量化表达性人体运动的任务比以往任何时候都更加可行。成功将使人机交互(HCI)和控制范式取得突破。然而,在大多数领域,表现力仍然是模糊且难以定义的。我们在初级水平上检查乐器指挥家的动作,以定义节拍的特定品质。在我们的测试案例中,我们将重点放在作为表达质量基础的慢音和断音发音风格之间的差异上。我们表明,有可能定义通用的低级运动特征,我们称之为运动原语,以量化这两种不同的发音风格在不同速度范围内的定性方面。我们的运动原语包括速度和加速度大小的平均值和方差,以及空间曲率的度量。每一种都是从一个拍子的止音到下一个拍子的止音,以标准的4/4拍模式进行测量。通过双尾t检验证明了这些特征的判别能力,并通过Naïve贝叶斯分类实验进行了验证。结果表明,我们使用的动作原语有效地描述了两种不同发音风格的每个节拍所揭示的表达特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Interactive Tango Milonga: designing internal experience Conceptualising interaction in live performance: reflections on 'encoded' Sound space and spatial sampler Sketches vs skeletons: video annotation can capture what motion capture cannot Towards realtime measurement of connectedness in human movement
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1