运用Kinect传感器和拉班舞谱进行舞蹈运动学分析与可视化的具身学习游戏

An Embodied Learning Game Using Kinect and Labanotation for Analysis and Visualization of Dance Kinesiology

文章提出了一个基于拉班舞谱(Labanotation)和具身学习概念的舞蹈运动学分析与可视化教育框架。研究使用低成本的Kinect传感器提取出骨骼的运动数据,并对其进行几何处理和转换。根据拉班舞谱系统对数据进行分析,以确定人体姿势的特征。其间,研究开发了两个模块:第一个模块用于人体运动的记录、分析和可视化;第二个模块是一个应用程序,要求用户用上肢做出一系列的动作,最终以拉班舞谱符号生成一套舞谱。舞谱以符号和规则组合而成,用于记录舞蹈(或一般运动),与音符记录音乐的方式类似。拉班舞谱被公认为使用最广泛、最准确的舞蹈记录符号系统之一,这突出了该研究所提出的框架作为教育可视化工具的适用性和潜力。

In this paper,we present an educational framework for analysis and visualization of dance kinesiology based on Labanotation and embodied learning concepts.The low-cost Kinect sensor is employed to extract skeletal data which are then processed and transformed geometrically.In the sequel,they are analyzed based on the Labanotation system to characterize the posture of the human limbs.Two modules have been developed.The first module serves for recording,analyzing and visualizing body movements.The second module is an application in which the user is required to perform with his upper limbs,a sequence of gestures given by the system in the form of Labanotation symbols.Dance notation consists of a set of symbols and rules for recording dance(or movement in general),in a similar way that music notation records music.The fact that Labanotation is recognized as one of the most widely used and accurate notation systems for recording dance highlights the proposed framework’s applicability and potential as an educational visualization tool.