In this paper we present a method for recognizing emotions using video and audio data captured from a mobile phone. A mobile application is also presented that captures audio and video data, which were used to predict emotion with a convolutional neural network. We show results of our deep network on images taken from the BP4D+ [11] database, and audio signals taken from the RAVDESS dataset [4], which were also used to train the CNN used in the presented mobile application.
No takes yet. Share an insight, caveat, or question.
Jannat et al. (2018) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: