Thursday, December 10, 2020

A Contemporary Longitudinal Breakdown Of The Hard Problem Of Martial Arts Dance Informatics

wikipedia |  Eshkol-Wachman movement notation is a system to record movement on paper or computer screen, developed by choreographer Noa Eshkol (daughter of Levi Eshkol) and architect Abraham Wachman.[2] It was originally developed for dance to enable choreographers to write a dance down on paper that dancers could later reconstruct in its entirety, much as composers write a musical score that musicians can later play.

In comparison to most dance notation systems, Eshkol-Wachman movement notation was intended to notate any manner of movement, not only dance. As such, it is not limited to particular dance styles or even to the human form. It has been used to analyze animal behaviour as well as dance (Golani 1976). 

Eshkol-Wachman movement notation treats the body as a sort of stick figure. The body is divided at its skeletal joints, and each pair of joints defines a line segment (a "limb"). For example, the foot is a limb bounded by the ankle and the end of the toe.

The relationship of those segments in three-dimensional space is described using a spherical coordinate system. If one end of a line segment is held in a fixed position, that point is the center of a sphere whose radius is the length of the line segment. Positions of the free end of the segment can be defined by two coordinate values on the surface of that sphere, analogous to latitude and longitude on a globe.

Limb positions are written somewhat like fractions, with the vertical number written over the horizontal number. The horizontal component (the lower) is read first. These two numbers are enclosed in brackets or parentheses to indicate whether the position in being described relative to an adjacent limb or to external reference points, such as a stage.

Eshkol-Wachman scores are written on grids, where each horizontal row represents the position and movement of a single limb, and each vertical column represents a unit of time. Movements are shown as transitions between initial and end coordinates. 

groundai |  Dance is an art and when technology meets this kind of art, it’s a novel attempt in itself. Several researchers have attempted to automate several aspects of dance, right from dance notation to choreography. Furthermore, we have encountered several applications of dance automation like e-learning, heritage preservation, etc. Despite several attempts by researchers for more than two decades in various styles of dance all round the world, we found a review paper that portrays the research status in this area dating to 1990 [1]. Hence, we decide to come up with a comprehensive review article that showcases several aspects of dance automation.

This paper is an attempt to review research work reported in the literature, categorize and group all research work completed so far in the field of automating dance. We have explicitly identified six major categories corresponding to the use of computers in dance automation namely dance representation, dance capturing, dance semantics, dance generation, dance processing approaches and applications of dance automation systems. We classified several research papers under these categories according to their research approach and functionality. With the help of proposed categories and subcategories one can easily determine the state of research and the new avenues left for exploration in the field of dance automation.