A Hybrid Data Mining Method for EEG Analysis in Online Education Enhanced by Background Music

ABSTRACT

Oitline teaching arc facing drikmatic challenges due to the COVIDI9 pandemic requiring massive online education. Students are experiencing mental and physical isolation during this period. This researchAims to find an efficient may to discover students emotion status through 1,;El patient recognition (1'10. Traditional PR !method,' haie been applied eNtensikeh in 1"Ft;recognition including Artificial Neuron Networks iANNi, Support Vector Nlak'hinekSVNI Nearest Xeighhorc (KNN), and so on. In this paper, a association rule -based PR method has been introduced through incorporating clustering and Apriori association rube methods. The experimental results demonst rale that Ute tgdimized rule -based 1"Ft;PR model Can improve real-time recognition eflicienc. Tlic proposed model can Ike used for identifying students cognitive statuses and improve educational perfikrrnunce in (.0\11/19 period