Abstract
Confusion is a state in which an individual is not clear about the situation at hand, does not understand the logic of the matter, or cannot arrive at a reasoned outcome. When people are confused, they often make poor decisions or even fail to make decisions. In this paper, we tested and validated our two models using the collected EEG signals of ten students while watching online courses of different difficulty levels. Both the LSTM model and the DNN model obtained an accuracy rate close to 70% in the validation part, but they showed different characteristics. In the end, we compare and summarize the results of the two models and try to generalize them to other domains in the future.
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