Personality-based emotion recognition for learning environments

In this paper we present the creation of a video personality recognition model using convolutional neural networks. We also propose the implementation of these models towards the creation of datasets for learning centered emotions with the use of personality as a mean of partitioning them for accuracy enhancement. The model when compared with other state of the art models, shown an improvement of roughly 3% over the best state of the art model when tested.