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

Seong-Eun Moon; Soobeom Jang; Jong-Seok Lee

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arXiv · 1809.03650

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

Seong-Eun Moon·Soobeom Jang·Jong-Seok Lee

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Abstract

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

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Seong-Eun Moon, Soobeom Jang, Jong-Seok Lee. 2018-09-11. Evaluation of Preference of Multimedia Content using Deep Neural Networks for Electroencephalography. https://arxiv.org/abs/1809.03650

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