Automated video analysis of interpersonal entrainment in Indian music performance

Automated video analysis of interpersonal entrainment in Indian music performance
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印度音乐表演中人际交往的自动视频分析

DOI:
10.4108/icst.intetain.2015.259521
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发表时间:
2015
期刊:
2015 7th International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN)
影响因子:
--
通讯作者:
A. Camurri
A. Camurri
中科院分区:
--
文献类型:
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作者:
Paolo Alborno;M. Clayton;P. Keller;G. Volpe;A. Camurri

文献摘要

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人际纠缠是音乐表演的一个重要特征,也是一个未被充分挖掘的特征。更好地理解这一现象对音乐学和从心理学角度理解联合行动和协调具有重要意义,也可能适用于娱乐、教育和治疗环境。为了实现这一点,需要新的调查方法,通过这种方法可以在生态环境中调查夹带,将耗时的人工干预降至最低。这里给出了一个自动分析印度音乐表演录像中的夹带和领导力的系统的初步研究结果。该系统基于EyesWeb XMI开放软件平台。讨论了研究的背景和目的,并根据录像跟踪的头部运动对夹带进行了分析。
Interpersonal entrainment is an important and underexplored feature of musical performance. Better understanding of this phenomenon has important implications for musicology and for the understanding of joint action and coordination from a psychological perspective, and is likely also to be applicable in entertainment, educational, and therapeutic contexts. In order to achieve this, new methods of investigation are needed through which entrainment can be investigated in ecological contexts, keeping time-consuming manual intervention to a minimum. Preliminary research results are presented here on a system for the automated analysis of entrainment, and leadership from video recordings of performances of Indian music. The system is based on the EyesWeb XMI open software platform. The context and aims of the research are discussed along with an analysis of entrainment on the basis of head movements tracked on a video recording.