Emotion Recognition from Facial Expression using Deep Learning
Nithya Roopa S
Nithya Roopa S, Assistant Professor, Kumaraguru College of Technology, Coimbatore (Tamil Nadu), India.

Manuscript received on 15 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 06 September 2019 | PP: 91-95 | Volume-8 Issue- 6S, August 2019 | Retrieval Number: F10190886S19/19©BEIESP | DOI: 10.35940/ijeat.F1019.0886S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Facial expression recognition is the part of Facial recognition which is gaining more importance and need for it increases tremendously. Though there are methods to identify expressions using machine learning and Artificial Intelligence techniques, this work attempts to use deep learning and image classification method to recognize expressions and classify the expressions according to the images. Various datasets are investigated and explored for training expression recognition model are explained in this paper. Inception Net is used for expression recognition with Kaggle (Facial Expression Recognition Challenge) and Karolinska Directed Emotional Faces datasets. Final accuracy of this expression recognition model using Inception Net v3 Model is 35%(~).
Keywords: Facial Recognition, Expression Recognition, Deep Learning, Image Recognition, Facial Technology, Signal Processing, Image Classification.
Scope of the Article: Deep Learning