Frequency-based EEG human concentration detection system methods with SVM classification

Prima Dewi Purnamasari, Tsalsabilla Winny Junika

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Human concentration is needed in many aspect of human life, such as in cognitive activities and also can be used in a situation when the human concentration should be present and maintained, for example for a driver, where the absence of concentration could lead to a severe accident. In this research, human concentration is recognized by observing the electroencephalography (EEG) signal generated by the human brain. The EEG signal is taken from a non-invasive brain computer interface (BCI) device and processed using frequency based feature extraction and an RBF kernel SVM classifier. Two frequency-based feature extractions are compared, the power spectral density (PSD) from Fast Fourier Transform (FFT) and the energy from Discrete Wavelet Transform (DWT). DWT is better than FFT to be used as the feature extraction, and the accuracy is higher by 18% compared to the system with FFT. SVM with RBF kernel as the classifier, has shown a good performance with 91% accuracy in recognizing human concentration, with the best parameter settings when \mathrmC=1 and \gamma=0,1.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationCYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages29-34
Number of pages6
ISBN (Electronic)9781728108674
DOIs
Publication statusPublished - Aug 2019
Event2019 IEEE International Conference on Cybernetics and Computational Intelligence, CYBERNETICSCOM 2019 - Banda Aceh, Indonesia
Duration: 22 Aug 201924 Aug 2019

Publication series

NameProceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World

Conference

Conference2019 IEEE International Conference on Cybernetics and Computational Intelligence, CYBERNETICSCOM 2019
CountryIndonesia
CityBanda Aceh
Period22/08/1924/08/19

Keywords

  • Concentration
  • DWT
  • EEG
  • FFT
  • SVM

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  • Cite this

    Purnamasari, P. D., & Junika, T. W. (2019). Frequency-based EEG human concentration detection system methods with SVM classification. In Proceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World (pp. 29-34). [8875677] (Proceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CYBERNETICSCOM.2019.8875677