Work

Generative Choreographies: The Performance Dramaturgy of the Machine

Year: 2020

Type: conference-paper

Abstract: This paper presents an approach for a full-body interactive environment in which performers manipulate virtual actors in order to augment a live performance. The aim of this research is to explore the role of generative animation to serve an interactive performance, as a dramaturgical approach in new media. The proposed system consists of three machine learning modules encoding a human’s movement into generative dance, performed by an avatar in a virtual world. First, we provide a detailed description of the technical aspects of the system. Afterwards, we discuss the critical aspects summarized on the basis of dance practice and new media technologies. In the process of this discussion, we emphasize the ability of the system to conform with a movement style and communicate choreographic semiotics, affording artists with new ways of engagement with their audiences.

Source: International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)

DOI: 10.5220/0008990403190326

Authors: Esbern Kaspersen, Dawid Górny, Cumhur Erkut, George Palamas

Institution: Aalborg University

Language: English

Topic: Art, Technology, and Culture

Subfield: Visual Arts and Performing Arts

Field: Arts and Humanities

Domain: Social Sciences

Open Access status: hybrid

OpenAlex ID: W3010732772

FWCI: 6.839

Cites:

Cited by: 7

Related to: 10