Development of EEG Data-driven Generative Art Application for Real-time and Dynamic Interaction

Generative art is produced by procedural techniques. It has obtained a lot of attention since the beginning of computer graphics. Many works of art are inspired by nature, among which phyllotaxis is as well. It is a combination of mathematics and the beauty of nature. Not only can it be seen everywh...

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Bibliographic Details
Published inJournal of robotics, networking and artificial life Vol. 8; no. 2; pp. 117 - 121
Main Authors Lin, Chien-Tung, Rajapakse, R. P. C. Janaka, Tokuyama, Yoshimasa
Format Journal Article
LanguageEnglish
Published Dordrecht Springer Netherlands 2021
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Summary:Generative art is produced by procedural techniques. It has obtained a lot of attention since the beginning of computer graphics. Many works of art are inspired by nature, among which phyllotaxis is as well. It is a combination of mathematics and the beauty of nature. Not only can it be seen everywhere in nature, but also often appear in man-made objects, becoming part of culture or religion. This paper presents the development of an interactive generative art application that is created from a phyllotaxis pattern by using the user’s Electroencephalogram (EEG) data. When people are using it, it will allow them to more easily relax and achieve the function of art therapy. We tried to use EEG data to make an interactive installation art that creates phyllotaxis patterns that are projected on the wall. Everyone has a different state, the generated patterns are also different from person to person, which creates interesting interactive contents. In addition, sound can also be changed by EEG data to become dynamic and real-time contents.
ISSN:2405-9021
2352-6386
DOI:10.2991/jrnal.k.210713.010