©BEIESP. The automatic detection of facial expressions is an active research topic, since its wide fields of applications in human-computer interaction, games, security or education. However, the latest studies have been made in controlled laboratory environments, which is not according to real world scenarios. For that reason, a real time Facial Expression Recognition System (FERS) is proposed in this paper, in which a deep learning approach is applied to enhance the detection of six basic emotions: happiness, sadness, anger, disgust, fear and surprise in a real-time video streaming. This system is composed of three main components: face detection, face preparation and face expression classification. The results of proposed FERS achieve a 65% of accuracy, trained over 35558 face images..
|Original language||American English|
|Number of pages||5|
|Journal||International Journal of Recent Technology and Engineering|
|State||Published - 1 Sep 2019|
Bustamante, J. C., Rodriguez, C., & Esenarro, D. (2019). Real time facial expression recognition system based on deep learning. International Journal of Recent Technology and Engineering, 4047-4051. https://doi.org/10.35940/ijrte.B1591.0982S1119