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
Type | Conference paper |
---|---|
Title | Evolutionary art with an EEG fitness function |
Authors | Nĕmečková, 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 Group | Artificial Intelligence group |
Conference | AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence |
Page range | 241-252 |
Editors | Bramer, M. and Petridis, M. |
ISSN | 0302-9743 |
ISBN | |
Hardcover | 9783030348847 |
Electronic | 9783030348854 |
Publisher | Springer Nature |
Publication dates | |
Online | 19 Nov 2011 |
Publication process dates | |
Deposited | 21 Oct 2019 |
Accepted | 05 Sep 2019 |
Output status | Published |
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) |
Digital Object Identifier (DOI) | https://doi.org/10.1007/978-3-030-34885-4_19 |
Language | English |
Book title | Artificial Intelligence XXXVI 39th SGAI International Conference on Artificial Intelligence (AI-2019), Cambridge, UK, December 17–19, 2019, Proceedings |
https://repository.mdx.ac.uk/item/888v3
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