Open AccessA Method for the Analysis of Facial Expressions using Machine Learning Algorithms
Author(s) -
M. Anand,
Granty Regina Elwin J,
M. K.,
M.Hum Dr. Joko Setiyono S.H.
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d5270.118419
Subject(s) - computer science , facial expression , artificial intelligence , algorithm , machine learning , support vector machine , statement (logic) , interface (matter) , statistical classification , natural (archaeology) , archaeology , bubble , maximum bubble pressure method , parallel computing , political science , law , history
The interaction between human and machine systems have thrived a great importance in understanding the emotions and extracting them. Emotional analysis statement has a complication with large number of input features and varying human expressions, which needs classification of compact number of similar features using classification algorithm. Automatic facial recognition.may sometimes act as an element for natural human interface machines. Various techniques have been proposed to perform emotional analysis which shown a great progress in success in adopting the algorithms and methods. This paper provides a survey on the different algorithms and techniques emphasized for emotional analysis.