OMG - Emotion Challenge Solution
This work addresses emotion recognition in videos, which is an incremental contribution to affective computing and human-computer interaction.
The paper tackled the problem of estimating continuous arousal and valence values from short videos for the 2018 IEEE WCCI OMG-Emotion Challenge, achieving improved performance through a fusion of base regression models using visual and audio features.
This short paper describes our solution to the 2018 IEEE World Congress on Computational Intelligence One-Minute Gradual-Emotional Behavior Challenge, whose goal was to estimate continuous arousal and valence values from short videos. We designed four base regression models using visual and audio features, and then used a spectral approach to fuse them to obtain improved performance.