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Evaluation of quality of experience (QoE) based on electroencephalography(EEG) has received great attention due to its capability of real-time QoEmonitoring of users. However, it still suffers from rather low recognitionaccuracy. In this paper, we propose a novel method using deep neural networkstoward improved modeling of EEG and thereby improved recognition accuracy. Inparticular, we aim to model spatio-temporal characteristics relevant for QoEanalysis within learning models. The results demonstrate the effectiveness ofthe proposed method.

Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography