activity
20182023
most citedEmotional EEG Classification using Connectivity Features and Convolutional Neural Networks

94 citations · 177 across the 8 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.HC2018★ 33 cited

Perceptual Experience Analysis for Tone-mapped HDR Videos based on EEG and Peripheral Physiological Signals

Seong-Eun Moon, Jong-Seok Lee

High dynamic range (HDR) imaging has been attracting much attention as a technology that can provide immersive experience. Its ultimate goal is to provide better quality of experie…

cs.HC2018★ 49 cited

Implicit Analysis of Perceptual Multimedia Experience Based on Physiological Response: A Review

Seong-Eun Moon, Jong-Seok Lee

The exponential growth of popularity of multimedia has led to needs for user-centric adaptive applications that manage multimedia content more effectively. Implicit analysis, which…

eess.SP2018

EEG-based video identification using graph signal modeling and graph convolutional neural network

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

This paper proposes a novel graph signal-based deep learning method for electroencephalography (EEG) and its application to EEG-based video identification. We present new methods t…

cs.HC2018

Convolutional Neural Network Approach for EEG-based Emotion Recognition using Brain Connectivity and its Spatial Information

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

Emotion recognition based on electroencephalography (EEG) has received attention as a way to implement human-centric services. However, there is still much room for improvement, pa…

cs.HC2018

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

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

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…