在具有拓扑约束的舞蹈中通过运动进行交流

Kayhan Özcimder
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引用次数: 1

摘要

本文综述了在合作控制中通过动作进行交流的人类互动研究工作。我们对具有共同目标的多智能体分布式控制模型感兴趣,并且需要智能体完成次要目标。本文提出的研究扩展了早期对萨尔萨舞中领导-追随者互动分析的工作。萨尔萨舞中的移动转换是用拓扑结理论提出的简单规则来描述的。舞蹈中每个动作的初始和最终姿势由链接图表示。对分类连杆图计算连杆不变的亚历山大多项式,从而将舞蹈中的物理运动基元描述为多项式函数操作。通过引入三个新动作,扩展了早期作品中舞步字母表的大小。讨论了过渡系统中领导者的决策过程,并将其与已有的少变动模型进行了比较。提出了复杂性度量来捕捉舞蹈中的新字母和熟练程度等级。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Communication through motion in dance with topological constraints
This paper summarizes work that investigates human interactions in terms of communication through motion in cooperative control. We are interested in multi-agent distributed control models with a shared goal and with the agents being required to accomplish secondary objectives. The study presented here extends the earlier work on the analysis of leader-follower interactions in salsa. The move transitions in salsa are described by simple rules suggested by topological knot theory. The initial and final poses of each move in the dance are represented by link diagrams. The link invariant Alexander Polynomial is calculated for classified link diagrams so that the physical motion primitives in dance are described as polynomial function manipulations. The size of the alphabet for the dance moves given in earlier work is extended by introducing three new moves. The leaders' decision process in a transition system is discussed and it is compared with the prior models which had fewer moves. Complexity metrics are proposed to capture the new alphabet and the proficiency hierarchy in the dance.
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