Descripción del proyecto
Esclarecimiento de los procesos ocultos del escurridizo arte del movimiento
La danza es uno de los artes más creativos. Mediante la coreografía, representa emociones y pensamientos a través de movimientos practicados con precisión. Este proceso se ha considerado durante mucho tiempo muy difícil de estudiar y documentar. Sin embargo, la situación está cambiando en nuestro mundo digital, que permite la grabación y el estudio de los procesos coreográficos. El proyecto financiado con fondos europeos E2-CREATE llevará a cabo una investigación interdisciplinaria que combina el arte computacional y las habilidades artísticas en la danza con la ayuda de la visión artificial, el aprendizaje automático y el arte informático generativo. Dicha investigación permitirá un nuevo nivel de transferencia de conocimientos entre el arte y la ciencia para codificar la creatividad reflejada en las artes escénicas.
Objetivo
Choreography is an art form well-known for combining rigorous physical and mental training with the highest degrees of creativity. However, as dance is the most ephemeral of art forms, this extraordinary embodied creativity has been in danger of disappearing without leaving a significant trace. That was until several leading dance artists began over a decade ago to experiment with digital technology as a means to document their unique approaches to choreography. The result today is an impressive accumulation of interdisciplinary research showing how embodied creativity in dance can be systematically studied and documented, how computer-aided design can effectively communicate the outcomes and how digitised recordings can be processed computationally to reveal new information about choreographic principles, processes and methods. Drawing on these developments in dance digitisation and recent progress in computational arts, the Fellowship will focus on fusing artistic skills in dance with artistic skills in computing. The goal is to achieve a new level of sophisticated creative transfer at the intersection of the two fields by taking advantage of significant advances in the fields of computer vision and machine learning combined with the high-level of expertise the Fellow brings from the field of generative computer art. Generative computer art techniques have until now not been integrated fully into the dance digitisation process, but they have extraordinary potential in combination with machine learning to expand the capability of computational systems to learn from and model existing artistic approaches. The Fellow’s extensive experience of working at the intersection between dance technology and computer art and science means he is extremely well placed to facilitate and achieve this encoding of embodied creativity with lasting impact for mixed machine-human collaboration and interdisciplinary art and science research.
Ámbito científico
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Régimen de financiación
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)Coordinador
CV1 5FB Coventry
Reino Unido