Research on Face Expression Recognition
S. Nithya Roopa

S. Nithya  Roopa,  Assistant  Professor  Kumaraguru  College of  Technology  Coimbatore, Tamilnadu,  India.

Manuscript received on 09 August 2019 | Revised Manuscript received on 16 August 2019 | Manuscript Published on 31 August 2019 | PP: 88-91 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I10170789S219/19©BEIESP DOI: 10.35940/ijitee.I1017.0789S219

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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: Face Expression Recognition (FER) has become main area of interest due to its wide applications. Automatic Facial expression recognition has drawn the attention of researchers as it has many applications. Facial Expression Recognition gives important information about emotions of a human being. Many feature selection methods have been developed for identification of expressions from still images and real time videos. This work gives a detailed review of research works done in the field of facial expression identification and various methodologies implemented for facial expression recognition.

Keywords: Emotion Recognition, Automatic Emotion Recognition, Deep Learning, Image Recognition,  Speech  Technology,  Signal  Processing,
Scope of the Article: Pattern Recognition and Analysis