Evolutionary art with an EEG fitness function

Conference paper


Nĕmečková, I., James-Reynolds, C. and Currie, E. 2011. Evolutionary art with an EEG fitness function. Bramer, M. and Petridis, M. (ed.) AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence. Cambridge, United Kingdom 17 - 19 Dec 2019 Springer Nature. pp. 241-252 https://doi.org/10.1007/978-3-030-34885-4_19
TypeConference paper
TitleEvolutionary art with an EEG fitness function
AuthorsNĕmečková, I., James-Reynolds, C. and Currie, E.
Abstract

This project involved the use of an interactive Genetic Al-gorithm (iGA) with an electroencephalogram (EEG)-based fitness function to create paintings in the style of Piet Mondrian, a Dutch painter who used geometric elements in his later paintings. Primary data for the prototype was gathered by analysis of twenty-seven existing Mondrian paintings. An EEG gaming headset was used to read EEG signals, which were transmitted by Bluetooth to an Arduino running an iGA. These values were used as the iGA fitness function. The data was sent to a PC running Processing to dis-play the artwork. The resultant displayed artwork evolves to favour higher attention and meditation levels, which are considered to represent greater mindfulness. The process ends when the observer identifies a piece of art they would like to keep. However, convergence of the algorithm is difficult to test as many parameters can affect the process. A number of issues aris-ing from the research are discussed and further work is proposed.

Research GroupArtificial Intelligence group
ConferenceAI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence
Page range241-252
EditorsBramer, M. and Petridis, M.
ISSN0302-9743
ISBN
Hardcover9783030348847
Electronic9783030348854
PublisherSpringer Nature
Publication dates
Online19 Nov 2011
Publication process dates
Deposited21 Oct 2019
Accepted05 Sep 2019
Output statusPublished
Accepted author manuscript
Copyright Statement

The final authenticated version is available online at https://doi.org/10.1007/978-3-030-34885-4_19

Additional information

Proceedings part of the Lecture Notes in Computer Science book series (LNCS, volume 11927)
Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 11927)

Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-34885-4_19
LanguageEnglish
Book titleArtificial Intelligence XXXVI 39th SGAI International Conference on Artificial Intelligence (AI-2019), Cambridge, UK, December 17–19, 2019, Proceedings
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