Generating Music and Generative Art from Brain activity
This work addresses the problem of integrating brain activity into artistic creation for artists and users, offering a novel but incremental approach to generative art.
The researchers developed a computational system that uses a Brain-Computer Interface (BCI) to create generative art from brain activity, resulting in multimodal artworks that include visual, sound, olfactory, and kinesthetic components, with tests conducted to ensure data reliability.
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 device sent data. The generated artwork uses brain signals and concepts of geometry, color and spatial location to give complexity to the autonomous construction. As an added value, the visual and auditory production is accompanied by an olfactory and kinesthetic component which complements the art pieces providing a multimodal communication character.