IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v307y2017icp62-70.html
   My bibliography  Save this article

Analysis of folk music preference of people from different ethnic groups using kernel-based methods on EEG signals

Author

Listed:
  • Bajoulvand, Atena
  • Zargari Marandi, Ramtin
  • Daliri, Mohammad Reza
  • Sabzpoushan, Seyed Hojjat

Abstract

Emotional preference of people from different ethnicity would alter multimedia implicit tagging remarkably. It can be speculated that the people from each ethnic group would prefer the folk music of their own ethnicity more than the others. An emotionally intelligent system based on electroencephalography (EEG) is proposed in this study to test this hypothesis. Four channels of EEG signals of 16 healthy subjects from different ethnic groups were recorded during 4 two-minute long excerpts of folk music. Six types of features extracted and a subset of them were selected based on minimum-Redundancy-Maximum-Relevance (mRMR) algorithm. The top-ranked features were fed to the Support Vector Machine (SVM) classifier with Radial Basis Function (RBF) kernel with various similarity metrics. The performance of the proposed method was assessed in terms of F1-score and accuracy (ACC) using random sub-sampling cross validation scheme. The highest performance for the single SVM classifier was achieved by Dynamic Time Warping (DTW) based RBF kernel which was significantly higher than the chance level. These results approve that the tendency of people from each ethnic group to their ethnicity is significantly reflected in their EEG signals which can be automatically detected.

Suggested Citation

  • Bajoulvand, Atena & Zargari Marandi, Ramtin & Daliri, Mohammad Reza & Sabzpoushan, Seyed Hojjat, 2017. "Analysis of folk music preference of people from different ethnic groups using kernel-based methods on EEG signals," Applied Mathematics and Computation, Elsevier, vol. 307(C), pages 62-70.
    • Handle: RePEc:eee:apmaco:v:307:y:2017:i:c:p:62-70
    DOI: 10.1016/j.amc.2017.02.042
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300317301534
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.amc.2017.02.042?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Shamshirband, Shahaboddin & Mohammadi, Kasra & Khorasanizadeh, Hossein & Yee, Por Lip & Lee, Malrey & Petković, Dalibor & Zalnezhad, Erfan, 2016. "Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 428-435.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. William Day & Herbert Edelsbrunner, 1984. "Efficient algorithms for agglomerative hierarchical clustering methods," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 7-24, December.
    4. Kisi, Ozgur & Shiri, Jalal & Karimi, Sepideh & Shamshirband, Shahaboddin & Motamedi, Shervin & Petković, Dalibor & Hashim, Roslan, 2015. "A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm," Applied Mathematics and Computation, Elsevier, vol. 270(C), pages 731-743.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rahman, Shaikh Moksadur, 2020. "Relationship between Job Satisfaction and Turnover Intention: Evidence from Bangladesh," Asian Business Review, Asian Business Consortium, vol. 10(2), pages 99-108.
    2. Wang Kai, 2019. "Towards a Taxonomy of Idea Generation Techniques," Foundations of Management, Sciendo, vol. 11(1), pages 65-80, January.
    3. Bridgelall, Raj & Stubbing, Edward, 2021. "Forecasting the effects of autonomous vehicles on land use," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    4. Bevilacqua, Maurizio & Ciarapica, Filippo Emanuele, 2018. "Human factor risk management in the process industry: A case study," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 149-159.
    5. Naveena Prakasam & Louisa Huxtable-Thomas, 2021. "Reddit: Affordances as an Enabler for Shifting Loyalties," Information Systems Frontiers, Springer, vol. 23(3), pages 723-751, June.
    6. Colin Jerolmack & Alexandra K. Murphy, 2019. "The Ethical Dilemmas and Social Scientific Trade-offs of Masking in Ethnography," Sociological Methods & Research, , vol. 48(4), pages 801-827, November.
    7. Valeriy Makarov & Albert Bakhtizin, 2014. "The Estimation Of The Regions’ Efficiency Of The Russian Federation Including The Intellectual Capital, The Characteristics Of Readiness For Innovation, Level Of Well-Being, And Quality Of Life," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(4), pages 9-30.
    8. Zhao, Jing & Knoop, Victor L. & Wang, Meng, 2020. "Two-dimensional vehicular movement modelling at intersections based on optimal control," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 1-22.
    9. Kristine Edgar Danielyan & Samvel Grigoriy Chailyan, 2019. "Delineation of Effectors Impact on The Human Brain Derived Phosphoribosylpyrophosphate Synthetase-1 Activity," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 24(1), pages 17918-17926, December.
    10. Chuan Wang & Yupeng Liu & Wen Hou & Chao Yu & Guorong Wang & Yuyan Zheng, 2021. "Reliability and availability modeling of Subsea Autonomous High Integrity Pressure Protection System with partial stroke test by Dynamic Bayesian," Journal of Risk and Reliability, , vol. 235(2), pages 268-281, April.
    11. Mohammad AL-Zoubi, 2018. "The Role of Technology, Organization, and Environment Factors in Enterprise Resource Planning Implementation Success in Jordan," International Business Research, Canadian Center of Science and Education, vol. 11(8), pages 48-65, August.
    12. Damgaard, Mette Trier & Nielsen, Helena Skyt, 2018. "Nudging in education," Economics of Education Review, Elsevier, vol. 64(C), pages 313-342.
    13. Nicole D. Sintov & P. Wesley Schultz, 2017. "Adjustable Green Defaults Can Help Make Smart Homes More Sustainable," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    14. Hwang, ShinYoung & Kim Seongcheol, 2017. "What triggers the use of mIM service provider’s sequel O2O service extensions?," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168494, International Telecommunications Society (ITS).
    15. Sana Sadiq & Khadija Anasse & Najib Slimani, 2022. "The impact of mobile phones on high school students: connecting the research dots," Technium Social Sciences Journal, Technium Science, vol. 30(1), pages 252-270, April.
    16. Maude Hasbi & Antoine Dubus, 2019. "Determinants of Mobile Broadband Use in Developing Economies: Evidence from Sub-Saharan Africa," Working Papers hal-02264651, HAL.
    17. Jascha-Alexander Koch & Michael Siering, 2019. "The recipe of successful crowdfunding campaigns," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 661-679, December.
    18. Martins, José & Costa, Catarina & Oliveira, Tiago & Gonçalves, Ramiro & Branco, Frederico, 2019. "How smartphone advertising influences consumers' purchase intention," Journal of Business Research, Elsevier, vol. 94(C), pages 378-387.
    19. Retina Rimal & Chris Papadopoulos, 2016. "The mental health of sexually trafficked female survivors in Nepal," International Journal of Social Psychiatry, , vol. 62(5), pages 487-495, August.
    20. Wu, Bing & Yip, Tsz Leung & Yan, Xinping & Guedes Soares, C., 2022. "Review of techniques and challenges of human and organizational factors analysis in maritime transportation," Reliability Engineering and System Safety, Elsevier, vol. 219(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:apmaco:v:307:y:2017:i:c:p:62-70. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.