GANspire: Generating Breathing Waveforms for Art-Health Applications - Archive ouverte HAL
Communication Dans Un Congrès Année : 2021

GANspire: Generating Breathing Waveforms for Art-Health Applications

Résumé

This paper introduces GANspire, a deep learning tool that generates expressive breathing waveforms for art and health applications. We describe our ongoing work and contributions, which include the development of a generative model of breathing pressure waveforms, the participatory design of an interface for creative exploration of breathing generation, and the artistic application of our tool to the creation of a soft breathing object.
Fichier principal
Vignette du fichier
scurto2021ganspire.pdf (1008.2 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03478515 , version 1 (14-12-2021)

Identifiants

  • HAL Id : hal-03478515 , version 1

Citer

Hugo Scurto, Baptiste Caramiaux, Thomas Similowski, Samuel Bianchini. GANspire: Generating Breathing Waveforms for Art-Health Applications. 5th NeurIPS Workshop on Machine Learning for Creativity and Design, Dec 2021, ville indéterminée, Unknown Region. ⟨hal-03478515⟩
208 Consultations
175 Téléchargements

Partager

More