Analysis on techniques used to recognize and identifying the Human emotions

Title

Analysis on techniques used to recognize and identifying the Human emotions

Creator

Kulkarni P.; Rajesh T.M.

Description

Facial expression is a major area for non-verbal language in day to day life communication. As the statistical analysis shows only 7 percent of the message in communication was covered in verbal communication while 55 percent transmitted by facial expression. Emotional expression has been a research subject of physiology since Darwins work on emotional expression in the 19th century. According to Psychological theory the classification of human emotion is classified majorly into six emotions: happiness, fear, anger, surprise, disgust, and sadness. Facial expressions which involve the emotions and the nature of speech play a foremost role in expressing these emotions. Thereafter, researchers developed a system based on Anatomic of face named Facial Action Coding System (FACS) in 1970. Ever since the development of FACS there is a rapid progress in the domain of emotion recognition. This work is intended to give a thorough comparative analysis of the various techniques and methods that were applied to recognize and identify human emotions. This analysis results will help to identify proper and suitable techniques, algorithms and the methodologies for future research directions. In this paper extensive analysis on various recognition techniques used to identify the complexity in recognizing the facial expression is presented. Copyright 2020 Institute of Advanced Engineering and Science. All rights reserved.

Source

International Journal of Electrical and Computer Engineering, Vol-10, No. 3, pp. 3307-3314.

Date

2020-01-01

Publisher

Institute of Advanced Engineering and Science

Subject

Classification; Face detection; Feature extraction

Coverage

Kulkarni P., Research Scholar at Dayananda, Sagar University, India, Department of Computer Science and Engineering, Faculty of Engineering, CHRIST (Deemed to be university), India; Rajesh T.M., Department of Computer Science and Engineering, Dayananda Sagar University, India

Rights

All Open Access; Gold Open Access

Relation

ISSN: 20888708

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.11591/ijece.v10i3.pp3307-3314

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