Hypnagogic landscapes generated from EEG signals
Concept, experiment design, EEG data collection and analysis, text-to-mesh generation
Taisija Demchenko, Ninon Lizé Masclef
Creativity and Cognition 2023 virtual gallery
Ninon Lizé Masclef and Taisija Demchenko. (2023). Hyperdream : Exploring Hypnagogia Organicity. In Creativity and Cognition (C&C '23). ACM, New York, NY, USA. DOI:10.1145/3591196.3593506
3D, brain-computer interface, machine learning, neurosciences, immersive art, research
For the ACM Creativity & Cognition 2023 exhibition, Taja Demchenko and I created hypnagogic landscapes from EEG spectrograms. With the aid of a Dream Machine, the individual enters in a dream-like state. We generate 3D landscapes inspired from Frank Lloyd Wright's organic architectures by leveraging diffusion models (img2img and img2mesh).