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Journal Neurocomputers №4 for 2014 г.
Article in number:
Computing dance vs Neurocomputing dance
Keywords:
computing dance
neurocomputing dance
choreography
cinetography
cinetotact
cinetogram
editor of dance
Authors:
T. B. Badmaeva - Ph.D. (Hist.), Professor of theory and history of folk art culture, Moscow University of Culture and Arts. E-mail: badmaeva@inbox.ru
A. Yu. Alekseev - Ph.D. (Philos.), Associate Professor, Department of Informatization of Culture, Moscow State University of Culture and Arts, Coordinator of Research Programs of the Scientific Council of RAS of the Methodology of Artificial Intelligence. E-mail: aa65@list.ru
A. Yu. Alekseev - Ph.D. (Philos.), Associate Professor, Department of Informatization of Culture, Moscow State University of Culture and Arts, Coordinator of Research Programs of the Scientific Council of RAS of the Methodology of Artificial Intelligence. E-mail: aa65@list.ru
Abstract:
By computing dance understood algorithmically reproducible method of fixation movements of the human body, providing the solution choreographic tasks. The logical-mathematical format of computer editor of dance is an algebraic system Α. Her carrier is a finite set of original motions Μ, from which operations by ΩF constructively combined all the different dance moves, satisfying relationships and limitations by the predicates ΩP. Theory of Α is logical-mathematical version cinetography - the classical choreographic theory developed by S.S. Lisitsian [1] in 19301940. The theory is based on the body of work of the European dance writing in the last 500 years. Apart from cultural sources widely used mathematical and natural-scientific methods of research of human movement. Theory will codify several thousand samples of folk dancing. Wondering what the interest to Lisitsianskoy cinetographic theory arose waves. In 1950s conducted research S.S. Lisitsian and her students, at the end of 1970s - M.J. Zhornitskii, L.I. Nagaevoy, T.B. Badmaevoy; in the early 2000s. - N. Levochkinoy, A.M. Umahanovoy, D. Umerova [2]. Tens of books with Lisitsiansky cinetograms was published.
In our project cinetographic method got a wave of computer support. Set Μ consists of 34 symbols that unify the diversity of human movements: facial expression, arrangement of parts of hands and feet, angles back and forth. By the operation of ΩF in accordance with the restrictions ΩP, due to the semiotics of dance, formed unity of the movements of all parts of the body in a certain time interval - the cinetotact. Each complete dance movement consists of several cinetotacts. Several cinetotacts is cinetophrase. Record the dance - a cinetogram, which essentially is his score. 3D-image is obtained by the simultaneous motion detection in two planes: the vertical projection from front to back and a horizontal plane with the projection from the top to down. Cinetogram gives constructive picture as a separate movement and the dance as a whole. In general, the study of cinetography raises the dance art to the level of the precise sciences.
However, the first experiments for development and validation of computer editor of dance revealed a number of significant methodological limitations inherent in traditional computing. The method is inspired by the idea of universal neopositivism logical-mathematical language by which we can express any sociocultural phenomenon, including the art of dance. Scope of cinetographic editor is limited, although it may be useful not only in the daily work of choreographers practitioners and folklorists. Cinetography applicable for disco, bodybuilding, posttraumatic rehabilitation, etc. In addition, the linear cinetographic scheme is extremely difficult to describe the operation of superposition one dance to another, say, break dance on Indian dance. Therefore Α preferably be not as discrete sets of algebraic system, but seem in the format of sustainable patterns of neural networks. The modification of networks and corrects of weights corrects and blurs apriori set M, ΩF and ΩP. The multiplication of networks elegantly solves the problem of superposition of dances. Capture dance moves, their clustering and reduction to Α - this is purely neurocomputing theme.
Therefore, we do not claim that the project of computing dance is promising. The neurocomputing dance is promising.
Pages: 69-70
References
- Lisitsian S.S. Zapis' dvizheniy (Kinetografiya). M.-L.: Gos. izd-vo «Iskusstvo». 1940. 427s.
- Badmaeva T.B. Tantseval'nyy fol'klor kalmykov. Elista. 1982.