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Investigation of Music and Colours Influences on the Levels of Emotion and Concentration

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Online Engineering & Internet of Things

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 22))

Abstract

Experimental evidence already demonstrated that music and colours have an influence on emotion, attention and concentration. Due to the rapid technical progress, new devices are available to evaluate even more the brain signals, to map and compare them with reference values. Therefore, starting from the fact that music and colours not only express emotion, but also produce emotions at different levels depending on the psychological and mental health of the user, we investigate with NeuroSky technology, precisely with the MindWave headset, the amplitude and spectral components of low frequency brainwave signal, translated into a relationship between music, colour and the outcome of mental activity. The aim of this paper is to investigate the music’s and colour’s influence on the brain activity, mainly the increase on the concentration level noting the help to students enrolled in distance-learning programs. A LabVIEW application is developed in order to better monitor and do the spectral analyses and statistics calculations of the music and/or colour induced brain waves.

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Notes

  1. 1.

    https://glneurotech.com/bioradio/physiological-signal-monitoring/wireless-eeg-research-analysis-teaching/.

  2. 2.

    https://clevemed.com/.

  3. 3.

    http://store.neurosky.com/pages/mindwave.

  4. 4.

    http://www.choosemuse.com/.

  5. 5.

    MindWaveLabWiew driver: http://forums.ni.com/t5/NI-Labs-Toolkits/NeuroSky-LabVIEW-Driver/ta-p/3520085.

  6. 6.

    EEG – Electroencephalography with LabVIEW and MindWave Mobile: http://cerescontrols.com/projects/eeg-electroencephalography-with-labview-and-mindwave-mobile.

References

  • Crowley, K., Sliney, A., Pitt, I., Murphy, D.: Evaluating a brain computer interface to categorize human emotional response. In: The 10th IEEE International Conference in Advances Learning Technologies (2010)

    Google Scholar 

  • Dhali, S.: A Study of Brainwave eSensing Activity, Overleaf Papers (2015)

    Google Scholar 

  • Fannin, J.L.: Understanding your brainwaves, White paper

    Google Scholar 

  • Graimann, B., Allison, B., Pfurtscheller, G.: Brain-computer interfaces: a gentle introduction. In: Graimann, B., Allison, B., Pfurtscheller, G. (eds.) Brain-Computer Interfaces, pp. 1–27. Springer, Berlin (2010)

    Chapter  Google Scholar 

  • Girase, P.D., Deshmukh, M.P.: MindWave device wheelchair control. Int. J. Sci. Res. (2016)

    Google Scholar 

  • Gonzalez, V.M., Robles, R., Gongora, G., Medina, S.: Measuring Concentration While Programming with Low-Cost BCI Devices: Differences Between Debugging and Creativity. Lecture Notes in Computer Science, vol. 9183, pp. 605–615 (2015)

    Google Scholar 

  • Gudmundsdottir, K.: Improving players control over the neurosky brain computer interface, School of Computer Science, Reykjavik University (2011)

    Google Scholar 

  • Khalilardali, S., Chavarriaga, R., Gheorghe, L.A., Millan, J.: Detection of anticipatory brain potential during car driving (2012). PubMed, NCBI Resources

    Google Scholar 

  • Miller, S.: Literature Review – Workload Measures. University of Iowa (2001)

    Google Scholar 

  • Mostow, J., Nelson, C.K.: Toward exploiting EEG input in a reading tutor. In: Proceedings of the 15th International Conference on Artificial Intelligence in Education, AIED 2011 (2011)

    Google Scholar 

  • Neurosky Mindwave User Guide, October 2016

    Google Scholar 

  • Peters, C., Asteriadis, S., Rebolledo-Mendez, G. (eds.): 10th International Workshop on Image Analysis for Multimedia Interactive Services. Institute of Electrical and Electronics Engineering (2009)

    Google Scholar 

  • Robbins, R., Stonehill, M.: Investigating the Neurosky MindWave EEG Headset. Published project Report PPR726, Transport Research Laboratory (2014)

    Google Scholar 

  • Robolledo-Mendez, G., Freitas, S.: Attention modelling using inputs from a Brain Computer Interface and user-generated data in second life. Paper presented at the 10th International Conference on Multimodal Interfaces (ICMI) (2008)

    Google Scholar 

  • Salabun, W.: Processing and Spectral Analysis of the Raw EEG Signal from the MindWave. West Pomeranian University of Technology, Szczecin (2014)

    Google Scholar 

  • Shih, Y.N., Huang, R.H., Chiang, H.Y.: Background music: effects on attention performance. Work 42(4), 7–8 (2012)

    Google Scholar 

  • Vidal, J.J.: Towards direct brain–computer communication. Annu. Rev Biophys. Bioeng. 2, 157–180 (1973)

    Article  Google Scholar 

  • Vidal, J.J.: Real-time detection of brain events in EEG. IEEE Proc. 65, 633–664 (1977)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. AOSR Academy, Transylvania University of Braşov, Braşov, Romania

    Doru Ursuţiu

  2. ASTR Academy, Transylvania University of Braşov, Braşov, Romania

    Cornel Samoilă

  3. ARA, Transylvania University of Braşov, Braşov, Romania

    Stela Drăgulin

  4. Department of Music, Transylvania University of Braşov, Braşov, Romania

    Fulvia Anca Constantin

Authors
  1. Doru Ursuţiu
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  2. Cornel Samoilă
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  3. Stela Drăgulin
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  4. Fulvia Anca Constantin
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Corresponding author

Correspondence to Doru Ursuţiu .

Editor information

Editors and Affiliations

  1. Carinthia University of Applied Sciences , Villach, Austria

    Michael E. Auer

  2. Carinthia University of Applied Sciences , Villach, Austria

    Danilo G. Zutin

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Ursuţiu, D., Samoilă, C., Drăgulin, S., Constantin, F.A. (2018). Investigation of Music and Colours Influences on the Levels of Emotion and Concentration. In: Auer, M., Zutin, D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-64352-6_85

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  • DOI: https://doi.org/10.1007/978-3-319-64352-6_85

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64351-9

  • Online ISBN: 978-3-319-64352-6

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