Open Access
MATEC Web Conf.
Volume 335, 2021
14th EURECA 2020 – International Engineering and Computing Research Conference “Shaping the Future through Multidisciplinary Research”
Article Number 04001
Number of page(s) 14
Section Computer Engineering
Published online 25 January 2021
  1. A. Al-Nafjan, M. Hosny, Y. Al-Ohali, A. Al-Wabil, Appl. Sci. (2017) [Google Scholar]
  2. M.M. Javaid, M.A. Yousaf, Q.Z. Sheikh, M.M. Awais, S. Saleem M. Khalid, Lec. Notes Comp. Sci. (2015) [Google Scholar]
  3. Y. Liu, O. Sourina, Lec. Notes Comp. Sci. (2014) [Google Scholar]
  4. Z. Yin, Z. Fei, C. Yang, A. Chen, IECON Proceed. (2016) [Google Scholar]
  5. S. Koelstra, IEEE Trans. Affect. Comp. (2012) [Google Scholar]
  6. J. Panksepp, Affective neuroscience: the foundations of human and animal. (1998) [Google Scholar]
  7. S. Paradiso, Am. J. Psyc. (1998) [Google Scholar]
  8. J.E. LeDoux, Annu. Rev. Neurosci. (2000) [Google Scholar]
  9. E.L. Van Den Broek, Lec. Notes Comp. Sci. (2012) [Google Scholar]
  10. J.R. Wolpaw, Handbook of Clinical Neurology (2013) [Google Scholar]
  11. R. Corive, IEEE Signal Process. Mag. (2001) [Google Scholar]
  12. D.C. Hammond, Child and Adolescent Psychiatric Clinics of North America. (2005) [Google Scholar]
  13. D. Plass-Oude. Brain-Computer Interfacing and Games (2010) [Google Scholar]
  14. K.R. Scherer, Soc. Sci. Inf. (2005) [Google Scholar]
  15. J.A. Russell, J. Pers. Soc. Psychol. (1980) [Google Scholar]
  16. A. Mehrabian, Curr. Psychol. (1996) [Google Scholar]
  17. P. Ackermann, C. Kohlschein, J. Á. Bitsch, K. Wehrle, S. Jeschke, IEEE 18th Int. Conf. e-Health Net. Appl. Ser. (2016) [Google Scholar]
  18. D. Garrett, D.A. Peterson, C.W. Anderson, M.H. Thaut, IEEE Trans. Neural Syst. Rehabil. Eng. (2003) [Google Scholar]
  19. L.F. Nicolas-Alonso, J. Gomez-Gil, Sensors. (2012) [Google Scholar]
  20. S. Maldonado, R. Weber, Inf. Sci. (2009) [Google Scholar]
  21. J.W. Matiko, S.P. Beeby, J. Tudor, ICASSP. (2014) [Google Scholar]
  22. A. Schmidt, J. Laurel, Cogn. Emot. (2001) [Google Scholar]
  23. S.N. Daimi, G. Saha, Expert Syst. Appl. (2014) [Google Scholar]
  24. Z. Gao, S. Wang, ICMR. (2015) [Google Scholar]
  25. J. Atkinson, D. Campos, Expert Syst. Appl. (2016) [Google Scholar]
  26. N. Kumar, K. Khaund, S.M. Hazarika, Procedia Comput. Sci. 84, 31 (2016) [CrossRef] [Google Scholar]
  27. A. Tiwari, T.H. Falk, Comput. Intell. Neurosci. (2019) [Google Scholar]
  28. J. Cai, W. Chen, Z. Yin, Symmetry. 11, (2019) [Google Scholar]
  29. P.D. Welch, IEEE Trans. Audio Electroacoust. (1967) [Google Scholar]
  30. J.W. Matiko, S.P. Beeby, J. Tudor, ICASSP. 4389 (2014) [Google Scholar]
  31. J.P. Pijn, J. Van Neerven, A. Noest, F.H. Lopes da Silva, Electroencephalogr. Clin. Neurophysiol. (1991) [Google Scholar]
  32. L.I. Aftanas, N.V. Lotova, V.I. Koshkarov, V.P. Makhnev, Y.N. Mordvintsev, S.A. Popov. Int. J. Psychophysiol. (1998) [Google Scholar]
  33. Q. Wang, O. Sourina, M.K. Nguyen, Int. Conf. Cyberworlds. (2010) [Google Scholar]
  34. O. Sourina, V.V. Kulish, A. Sourin, IFMBE (2009) [Google Scholar]
  35. T. Higuchi, Phys. D Nonlinear Phenom. (1988) [Google Scholar]
  36. Q. Wang, O. Sourina, M.K. Nguyen, Vis. Comp. (2011) [Google Scholar]
  37. P. Maragos, F.K. Sun, IEEE Trans. Signal Process. (1993) [Google Scholar]
  38. I. Guyon, J. Weston, S. Barnhill, V. Vapnik, Mach. Learn. (2002) [Google Scholar]
  39. “scikit-learn: machine learning in Python — scikit-learn 0.23.2 documentation.” [Online]. Available: [Accessed: 21-Sep-2020] [Google Scholar]
  40. W.S. Noble, Nat. Biotechnol. (2006) [Google Scholar]
  41. C.J.C. Burges, Data Min. Knowl. Discov. (1998) [Google Scholar]
  42. C. Chang, C.J. Lin, LIBSVM (2001) [Google Scholar]
  43. N. Cristianini, J. Shawe-Taylor, An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. (2000) [CrossRef] [Google Scholar]
  44. S. Hamann and T. Canli, Cur. Opin. Neurobio. (2004) [Google Scholar]
  45. “SEED Dataset.” [Online]. Available: [Accessed: 21-Sep-2020] [Google Scholar]
  46. “HCI Tagging Database - Home.” [Online]. Available: [Accessed: 21-Sep-2020] [Google Scholar]

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