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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.
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Dates et versions

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

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  • HAL Id : hal-03478515 , version 1

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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⟩
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