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E2-CREATE: Encoding Embodied CreativityVisual arts, performing arts, film, design

Descrizione del progetto

Trasferire i processi celati nell’elusività dell’arte in movimento

La danza è una delle forme d’arte più creative: attraverso la coreografia, l’esecuzione precisa dei movimenti dà corpo a emozioni e riflessioni. Questo processo è stato a lungo considerato troppo indefinito per essere studiato e documentato. Ma il passaggio al mondo digitale sta rendendo possibile le registrazioni e lo studio dei processi coreografici. Il progetto E2-CREATE, finanziato dall’UE, condurrà una ricerca interdisciplinare che abbinerà nella danza le arti computazionali e le doti artistiche, grazie al supporto della visione artificiale, dell’apprendimento automatico e dell’arte generativa computerizzata. Ciò consentirà l’accesso a un nuovo livello di trasferimento delle conoscenze, nel punto d’incontro tra arte e scienza, per codificare la creatività corporea delle arti dello spettacolo.

Obiettivo

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.

Campo scientifico (EuroSciVoc)

Parole chiave

Programma(i)

Argomento(i)

Meccanismo di finanziamento

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

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Invito a presentare proposte

(si apre in una nuova finestra) H2020-MSCA-IF-2018

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Coordinatore

COVENTRY UNIVERSITY
Contributo netto dell'UE
€ 212 933,76
Indirizzo
PRIORY STREET
CV1 5FB Coventry
Regno Unito
Regione
West Midlands (England) West Midlands Coventry
Tipo di attività
Higher or Secondary Education Establishments
Collegamenti
Costo totale
€ 212 933,76