Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion Recognition
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 o...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/16/4543 |
| _version_ | 1797558287436087296 |
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| author | Heekyung Yang Jongdae Han Kyungha Min |
| author_facet | Heekyung Yang Jongdae Han Kyungha Min |
| author_sort | Heekyung Yang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T17:29:08Z |
| format | Article |
| id | doaj.art-269dbc6f81074a7f868716588def5a95 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T17:29:08Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-269dbc6f81074a7f868716588def5a952023-11-20T10:04:54ZengMDPI AGSensors1424-82202020-08-012016454310.3390/s20164543Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion RecognitionHeekyung Yang0Jongdae Han1Kyungha Min2Division of Software Convergence, Sangmyung University, Seoul 03016, KoreaDepartment of Computer Science, Sangmyung University, Seoul 03016, KoreaDepartment of Computer Science, Sangmyung University, Seoul 03016, KoreaVisual 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.https://www.mdpi.com/1424-8220/20/16/4543emotionEEGDataset for Emotion Analysis using Physiological Signals (DEAP)convolutional neural network (CNN)contrastvisual contents |
| spellingShingle | Heekyung Yang Jongdae Han Kyungha Min Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion Recognition Sensors emotion EEG Dataset for Emotion Analysis using Physiological Signals (DEAP) convolutional neural network (CNN) contrast visual contents |
| title | Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion Recognition |
| title_full | Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion Recognition |
| title_fullStr | Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion Recognition |
| title_full_unstemmed | Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion Recognition |
| title_short | Emotion Variation from Controlling Contrast of Visual Contents through EEG-Based Deep Emotion Recognition |
| title_sort | emotion variation from controlling contrast of visual contents through eeg based deep emotion recognition |
| topic | emotion EEG Dataset for Emotion Analysis using Physiological Signals (DEAP) convolutional neural network (CNN) contrast visual contents |
| url | https://www.mdpi.com/1424-8220/20/16/4543 |
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