Generating Music and Generative Art from Brain activity
Ricardo Andres Diaz Rincon

TL;DR
This paper presents a novel computational system that creates generative art from brain activity using a BCI, integrating visual, auditory, olfactory, and kinesthetic elements to reflect users' mental states.
Contribution
It introduces an innovative multimodal generative art system that translates brain signals into complex artistic expressions with autonomous and interactive features.
Findings
Reliable BCI data transmission demonstrated
Generated artworks effectively represent mental states
Multimodal components enhance artistic expression
Abstract
Nowadays, technological advances have influenced all human activities, creating new dynamics and ways of communication. In this context, some artists have incorporated these advances in their creative process, giving rise to unique aesthetic expressions referred to in the literature as Generative Art, which is characterized by assigning part of the creative process to a system that acts with certain autonomy (Galanter, 2003). This research work introduces a computational system for creating generative art using a Brain-Computer Interface (BCI) which portrays the user's brain activity in a digital artwork. In this way, the user takes an active role in the creative process. In aims of showing that the proposed system materializes in an artistic piece the user's mental states by means of a visual and sound representation, several tests are carried out to ensure the reliability of the BCI…
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Taxonomy
TopicsEEG and Brain-Computer Interfaces · Neural dynamics and brain function · Neuroscience and Neural Engineering
