Computational Laban Movement Analysis using probability calculus
Computational Laban Movement Analysis using probability calculus
复制标题
使用概率演算的计算拉班运动分析
DOI：
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发表时间：
2007
期刊：
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通讯作者：
J. Dias
中科院分区：
文献类型：
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作者：
Joerg Rett;J. Dias
本文提出了一个利用概率演算和贝叶斯理论实现拉班运动分析（LMA）概念的系统。我们的人机交互数据库（HID）提供了多个人在3-D（磁跟踪器）和2-D（视觉）中执行多个运动的位置数据序列。从位置数据计算一组低级别特征。概率演算是用来把这些低层次的功能和参考框架相关联的变量的LMA。贝叶斯理论为计算、学习和分类提供了概念。
This work presents a system which implements the concept of Laban Movement Analysis (LMA) using probability calculus and Bayesian theory. Our Human-InteractionDatabase (HID) provides sequences of position data from several persons performing several movements in 3-D (magnetic tracker) and 2-D (vision). From the position data a set of low-level features is calculated. Probability calculus is used to relate these low-level features and the frame of reference associated to the variables of LMA. The Bayesian theory provides the concept for calculation, learning and classication.