A research on the emotion classification and precision improvement of EEG(Electroencephalogram) data using machine learning algorithm
Hyunju Lee, Dongil Shin, Dongkyoo Shin, Journal of Internet Computing and Services, Vol. 20, No. 5, pp. 27-36, Oct. 2019
10.7472/jksii.2019.20.5.27, Full Text:
Keywords: DEAP dataset, ICA, Arousal-Valence plane, Random Forest, Attribute Selected Classifier
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Cite this article
[APA Style]
Lee, H., Shin, D., & Shin, D. (2019). A research on the emotion classification and precision improvement of EEG(Electroencephalogram) data using machine learning algorithm. Journal of Internet Computing and Services, 20(5), 27-36. DOI: 10.7472/jksii.2019.20.5.27.
[IEEE Style]
H. Lee, D. Shin, D. Shin, "A research on the emotion classification and precision improvement of EEG(Electroencephalogram) data using machine learning algorithm," Journal of Internet Computing and Services, vol. 20, no. 5, pp. 27-36, 2019. DOI: 10.7472/jksii.2019.20.5.27.
[ACM Style]
Hyunju Lee, Dongil Shin, and Dongkyoo Shin. 2019. A research on the emotion classification and precision improvement of EEG(Electroencephalogram) data using machine learning algorithm. Journal of Internet Computing and Services, 20, 5, (2019), 27-36. DOI: 10.7472/jksii.2019.20.5.27.