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Authors
Advisor(s)
Abstract(s)
Ghostdance is an evolving generative art project in the field of
dance and virtual reality (VR). It mixes visual, auditory and immersive
experiences, making use of generative algorithms to create
a dynamic audiovisual landscape with continuously changing images
and sounds. The performance consists of three interconnected
components: a) a duet featuring a human dancer and an avatar mirroring
the movements of an absent person; b) the transformation of
the physical movements of the human dancer into a visualization of
a hybrid body, constantly redefined as a swarm of virtual entities;
and c) the sonification of the dancer’s movements, introducing an
auditory dimension to the exploration of movement.
Performers dance in duets with virtual bodies, with prechoreographed
movements, in a visual and auditory landscape that
evolves in real time due to adaptive generative algorithms responding
to the presence and movements of the performer, informed
by pretrained machine learning algorithms able to categorize the
quality of the dancer’s movement in Laban terms.
Description
Keywords
Virtual reality Dance Live performance Evolutionary audiovisuals
Citation
Lima, C. de. (2024). LMA driven dynamic audiovisuals in a virtual reality live dance performance: Ghostdance. In Proceedings of MOCO24 9th International Conference on Movement and Computing.
Publisher
MOCO24 9th International Conference on Movement and Computing