TY - JOUR
T1 - Freedom of movement
T2 - 2018 Joint of the Artificial Intelligence and Interactive Digital Entertainment Workshops, AIIDE-WS 2018
AU - Compton, Kate
AU - Mateas, Michael
N1 - Funding Information:
My most recent motion-reactive art is on dance-reactive puppets.5 This project was funded by the Google Creative Lab as an experiment to use their Posenet Tensorflow detection algorithm (Oved ). This algorithm produces similar skeleton data to the Kinect, only instead of using infrared dots and multiple cameras, it uses machine-learning on normal RGB webcam data, potentially reaching a vastly larger audience than the Kinect ever has. This project was inspired by Nick Cave’s Sound Suits (Cave et al. 2010), dance costumes which distort the body into strange shapes and become partners to the dancers, and the Muppets, where the responsive materials of the Muppets (Kermit’s flailing arms, Animal’s chickenfeathers, Janice’s satin hair) become part of their character and movement. The idea was to create generative dance suits whose animation would respond to and exaggerate and reinterpret the movement of a user (as detected through Posenet), just as the physical forms of
Publisher Copyright:
© 2018 CEUR-WS. All Rights Reserved.
PY - 2018
Y1 - 2018
N2 - Generative methods provide rich, emergent ways to deal with many kinds of data. In this paper, we explore projects that listen to human motion, and respond through emergent generative art in ways that are inspired by dance and puppetry.
AB - Generative methods provide rich, emergent ways to deal with many kinds of data. In this paper, we explore projects that listen to human motion, and respond through emergent generative art in ways that are inspired by dance and puppetry.
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M3 - Conference article
AN - SCOPUS:85059822954
SN - 1613-0073
VL - 2282
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
Y2 - 13 November 2018 through 14 November 2018
ER -