Facial Expression Analysis Using Deep Learning Methods with Performance Evaluation

Volume 20 No 6 (2022)

M. Regina, M.S. Josephine , V. Jeyabalraja

DOI: 10.14704/nq.2022.20.6.NQ22521

Abstract

The main objective of this paper is to analyze the performance of machine learning algorithms regarding facial expression detection and classification. In the earlier days, most conventional algorithms have been used to detect and classify facial expressions, such as happy, sad, angry, etc. In contrast, the accuracy in detection and classification is comparatively less.

Keywords

Facial Expression Classification, Face Detection, Machine Learning Algorithms, Biometric Authentication.

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