An Extensive Overview of Techniques for Facial Recognition System

4 Pages Posted: 29 May 2019

See all articles by Shubham Dhiman

Shubham Dhiman

Uttaranchal University

Vaibhav Chauhan

Uttaranchal University

Ravi Raj Jaiswal

Uttaranchal University

Himanshu Goel

Uttaranchal University

Date Written: March 15, 2019

Abstract

The emotions, set in basic words are what individuals feel. Passionate angles have tremendous effect on Social insight like correspondence understanding, basic leadership and aides in understanding conduct part of human. Human countenances give different data about feelings. Hence extracting and understanding of emotions has a high importance of the interaction between human and machine communication Feeling acknowledgment is demonstrated a well-known research territory point in couple of decades. The point of this paper is to report an illustrative and extensive investigation of most famous feeling acknowledgment strategies, which are commonly utilized in feeling acknowledgment issues. We are inspired by the absence of itemized investigation of every single imaginable system usage in accessible writing. This paper gives an exceptional exhaustive study of methods accessible for feeling acknowledgment.

Keywords: Emotion Recognition, Support Vector Machine, Relevance Vector Machine, Neural Network, Feed-Forward Neural Network, CNN, k-Nearest Neighbour

Suggested Citation

Dhiman, Shubham and Chauhan, Vaibhav and Jaiswal, Ravi Raj and Goel, Himanshu, An Extensive Overview of Techniques for Facial Recognition System (March 15, 2019). International Conference on Advances in Engineering Science Management & Technology (ICAESMT) - 2019, Uttaranchal University, Dehradun, India, Available at SSRN: https://ssrn.com/abstract=3394683 or http://dx.doi.org/10.2139/ssrn.3394683

Shubham Dhiman (Contact Author)

Uttaranchal University ( email )

Arcadia Grant
Premnagar
Dehradun, 248007
India

Vaibhav Chauhan

Uttaranchal University ( email )

Arcadia Grant
Premnagar
Dehradun, 248007
India

Ravi Raj Jaiswal

Uttaranchal University ( email )

Arcadia Grant
Premnagar
Dehradun, 248007
India

Himanshu Goel

Uttaranchal University ( email )

Arcadia Grant
Premnagar
Dehradun, 248007
India

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