Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion Recognition

Abstract

Visual contents such as movies and animation evoke various human emotions. We examine an argument that the emotion from the visual contents may vary according to the contrast control of the scenes contained in the contents. We sample three emotions including positive, neutral and negative to prove our argument. We also sample several scenes of these emotions from visual contents and control the contrast of the scenes. We manipulate the contrast of the scenes and measure the change of valence and arousal from human participants who watch the contents using a deep emotion recognition module based on electroencephalography (EEG) signals. As a result, we conclude that the enhancement of contrast induces the increase of valence, while the reduction of contrast induces the decrease. Meanwhile, the contrast control affects arousal on a very minute scale.

EEG-Based Estimation on the Reduction of Negative Emotions for Illustrated Surgical Images

“…The independent decisions from the modules were merged using a voting strategy to make a final decision. Their model was trained and optimized using DEAP dataset, and applied to distinguish the emotional responses between photographs and artwork images [ 38 ] and to verify the influence of contrast on valence [ 39 ].…”