A Review of Facial Emotion Recognition: Comparison of Conventional and Deep Learning Methods

Comparison of conventional and deep learning approaches for facial emotion recognition, including feature extraction and challenges.

• Published in: SCYR 2019 : Scientific Conference of Young Researchers of the Faculty of Electrical Engineering and Informatics Technical University of Košice. - Košice (Slovensko) : Technická univerzita v Košiciach s. 17-21 [online, CD-ROM].
• ISBN: 978-80-553-3273-4

This paper deals with a comparison study including an update and an overview of techniques used for facial emotion expressions. First, we discuss the various models used for facial emotion representation also we describe the process of feature extraction. Along with that, we present Conventional approaches used for facial emotion recognition as well as deep learning approaches. In the paper, we define the advantages of Conventional and Deep Learning approaches and the drawbacks of both approaches. The paper points out also the challenges of both approaches which can be a point of interest for a Ph.D. study.