Real-Time Electroencephalogram Data Visualization Using Generative AI Art

This study is the result of the need to research the visualization of brainwaves. The aim is based on the idea of using generative AI art systems as a method. Data visualization is an important part of understanding the evolution of the world around us. It offers the ability to see a representation...

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Vydáno v:Designs Ročník 9; číslo 1; s. 16
Hlavní autoři: Puiac, Andrei Virgil, Cioca, Lucian-Ionel, Lakatos, Gheorghe Daniel, Groza, Adrian
Médium: Journal Article
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.01.2025
Témata:
Brain research
data visualization
EEG (electroencephalogram)
Electrodes
Electroencephalography
generative AI
Generative artificial intelligence
Headsets
interactive art
neurofeedback art
Real time
Rendering
Scientific visualization
Visualization
ISSN:2411-9660, 2411-9660
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Shrnutí:This study is the result of the need to research the visualization of brainwaves. The aim is based on the idea of using generative AI art systems as a method. Data visualization is an important part of understanding the evolution of the world around us. It offers the ability to see a representation that goes beyond numbers. Generative AI systems have gained the possibility of helping the process of visualizing data in new ways. This specific process includes real-time-generated artistic renderings of these data. This real-time rendering falls into the field of brainwave visualization, with the help of the EEG (electroencephalogram), which can serve here as input data for Generative AI systems. The brainwave measurement technology as a form of input to real-time generative AI systems represents a novel intersection of neuroscience and art in the field of neurofeedback art. The main question this paper hopes to address is as follows: How can brainwaves be effectively fed into generative AI art systems, and where can the outcome lead, in terms of progress? EEG data were successfully integrated with generative AI to create interactive art. The installation provided an immersive experience by moving the image with the change in the user’s mental focus, demonstrating the impact of EEG-based art.
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ISSN:2411-9660
2411-9660
DOI:10.3390/designs9010016