Facial Emotion Recognition Using Deep Learning
This work addresses emotion recognition for applications like human-computer interaction, but it is incremental as it applies existing deep learning methods to a standard task.
The authors tackled facial emotion recognition by developing a real-time system using deep learning on labeled facial images, achieving results evaluated on a public database.
We aim to construct a system that captures real-world facial images through the front camera on a laptop. The system is capable of processing/recognizing the captured image and predict a result in real-time. In this system, we exploit the power of deep learning technique to learn a facial emotion recognition (FER) model based on a set of labeled facial images. Finally, experiments are conducted to evaluate our model using largely used public database.