RT info:eu-repo/semantics/conferenceObject
T1 Creating Generative Data-driven Aesthetics Based on Brain Waves
A1 Azevedo, Bruno
A1 Silva, Helder
A1 Lapenta, Olívia Morgan
A1 Partesotti, Elena
K1 EEG data-driven Visualization
K1 Computational Aesthetics
K1 Immersive Environments
K1 Zen Gardens
K1 6203.05 Estética de las Bellas Artes
K1 3304 Tecnología de Los Ordenadores
AB Contemplative environments can significantly impact our mental health, and recent research highlights their importance for well-being. Guided by the principles and aesthetics of Zen Gardens and Zen Buddhism, the medium-term objective is to create an immersive, therapeutic environment with restorative qualities, utilizing a data-driven generative approach.This paper explores the initial phase of translating brainwave data, specifically electroencephalographic recordings of brainwaves, into dynamic abstract visual patterns. In this process, the data serves as the pigment, while algorithms shape the visual aesthetics. In this first iteration, a dataset related to the research of brain activity in a resting-state experiment was used, and a Fast Fourier Transform was implemented in the Processing programming language to calculate the average amplitude and frequency.The average amplitude was used as input for the Flow Field algorithm, influencing the velocity visualized through dynamic curves with fading trails. By presenting the current work, this article aims to show the transformative potential of generative art in creating abstract immersive environments.
PB Springer
SN 9783031972560
YR 2026
FD 2026
LK https://uvadoc.uva.es/handle/10324/82917
UL https://uvadoc.uva.es/handle/10324/82917
LA eng
NO Brooks, A.L., Banakou, D., Ceperkovic, S. (eds.). ArtsIT, Interactivity and Game Creation. ArtsIT 2024. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 651, p. 95-111. Springer.
NO Producción Científica
DS UVaDOC
RD 20-feb-2026