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Mindfulness Mirror

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Artificial Intelligence XXXVI (SGAI 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11927))

Abstract

This paper explores the use of an interactive Genetic Algorithm for creating a piece of visual art intended to assist in promoting the state of mindfulness. This is determined by a Bluetooth gaming electroencephalography (EEG) headset as the fitness function. The visual display consisted of an infinity mirror with over two hundred Neopixels with fade times and colour of zones controlled by two Arduinos running the software. Whilst we have observed some convergence of solutions, the results and user observations raised some interesting questions about how this strategy might be improved.

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References

  1. Holland, J.H.: Adaptation in Natural and Artificial Systems. University of Michigan Press, Ann Arbor (1975)

    Google Scholar 

  2. Goldberg, D.E.: Genetic and evolutionary algorithms come of age. Commun. ACM 37, 113–119 (1994)

    Article  Google Scholar 

  3. Srinivas, M., Patnaik, L.M.: Adaptive probabilities of crossover and mutation in genetic algorithms. IEEE Trans. Syst. Man, Cybern. 24(4), 656–667 (1994)

    Article  Google Scholar 

  4. Dahlstedt, P.: Creating and exploring huge parameter spaces: interactive evolution as a tool for sound generation. In: Proceedings of the 2001 International Computer Music Conference, pp. 235–242 (2001)

    Google Scholar 

  5. Thierens, D., Goldberg, D.: Convergence models of genetic algorithm selection schemes. In: Davidor, Y., Schwefel, H.-P., Männer, R. (eds.) Parallel Problem Solving from Nature — PPSN III, pp. 119–129. Springer, Berlin (1994). https://doi.org/10.1007/3-540-58484-6_256

    Chapter  Google Scholar 

  6. Melanie, M., n.d. An Introduction to Genetic Algorithms 162

    Google Scholar 

  7. Goldberg, D.E., Deb, K.: A comparative analysis of selection schemes used in genetic algorithms. Urbana 51, 61801–62996 (1991)

    Google Scholar 

  8. Todd, S., Latham, W.: Evolutionary Art and Computers. Academic Press, Cambridge (1992)

    MATH  Google Scholar 

  9. Caetano, M.F., Manzolli, J., Von Zuben, F.J.: Interactive control of evolution applied to sound synthesis. In: FLAIRS Conference, pp. 51–56 (2005)

    Google Scholar 

  10. Ryan, M.: Niemiec Psychology today. https://www.psychologytoday.com/gb/blog/what-matters-most/201711/3-definitions-mindfulness-might-surprise-you. Last Accessed 3 Jul 2019

  11. Mental Health Foundation. https://www.mentalhealth.org.uk/a-to-z/m/mindfulness

  12. Bishop, S.R., n.d. Mindfulness: A Proposed Operational Definition 12. Clinical Psychology: Science and Practice; Autumn, vol. 11(3), Health Module, p. 230 (2004)

    Google Scholar 

  13. Lomas, T., Ivtzan, I., Fu, C.H.Y.: A systematic review of the neurophysiology of mindfulness on EEG oscillations. Neurosci. Biobehav. Rev. 57, 401–410 (2015)

    Article  Google Scholar 

  14. New Scientist Live 20–13rd September 2018 ExCel London. https://live.newscientist.com/2018-official-show-guide#/

  15. NeuroSky (2018): NeuroSky Brainwave Starter Kit. http://developer.neurosky.com/docs/doku.php?id=mindwave_mobile_and_arduino. Last accessed 1 Jul 2019

  16. Cajochen, C., et al.: Evening exposure to a light-emitting diodes (LED)-backlit computer screen affects circadian physiology and cognitive performance. J. Appl. Physiol. 110, 1432–1438 (2011)

    Article  Google Scholar 

  17. James-Reynolds, C., Currie, E.: EEuGene: employing electroencephalograph signals in the rating strategy of a hardware-based interactive genetic algorithm. In: Bramer, M., Petridis, M. (eds.) Research and Development in Intelligent Systems XXXIII, pp. 343–353. Springer International Publishing, Cham (2016). https://doi.org/10.1007/978-3-319-47175-4_25

    Chapter  Google Scholar 

  18. Maskeliunas, R., Damasevicius, R., Martisius, I., Vasiljevas, M.: Consumer grade EEG devices: are they usable for control tasks? PeerJ 4, e1746 (2016)

    Article  Google Scholar 

  19. Chee-Keong Alfred, L., Chong Chia, W.: Analysis of single-electrode EEG rhythms using MATLAB to Elicit correlation with cognitive stress. Int. J. Comput. Theor. Eng. 7, 149–155 (2015)

    Article  Google Scholar 

  20. Adafruit Neopixels Library. https://github.com/adafruit/Adafruit_NeoPixel

  21. Khosrowabadi, R., Quek, C., Ang, K.K., Wahab, A.: ERNN: a biologically inspired feedforward neural network to discriminate emotion from EEG signal. IEEE Trans. Neural Netw. Learn. Syst. 25, 609–620 (2014)

    Article  Google Scholar 

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Correspondence to C. James-Reynolds .

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James-Reynolds, C., Currie, E. (2019). Mindfulness Mirror. In: Bramer, M., Petridis, M. (eds) Artificial Intelligence XXXVI. SGAI 2019. Lecture Notes in Computer Science(), vol 11927. Springer, Cham. https://doi.org/10.1007/978-3-030-34885-4_36

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  • DOI: https://doi.org/10.1007/978-3-030-34885-4_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34884-7

  • Online ISBN: 978-3-030-34885-4

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