Real Time Facial Expression Recognition using Deep Learning

8 Pages Posted: 17 Jul 2019 Last revised: 30 Sep 2019

See all articles by Isha Talegaonkar

Isha Talegaonkar

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India

Kalyani Joshi

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India

Shreya Valunj

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India

Rucha Kohok

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India

Anagha Kulkarni

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India

Date Written: May 18, 2019

Abstract

As we move towards a digital world, Human Computer Interaction becomes very important. A lot of research has been done in this field over the past decade. Face expressions are a key feature of non-verbal communication, and they play an important role in Human Computer Interaction. This paper presents an approach of Facial Expression Recognition (FER) using Convolutional Neural Networks (CNN). This model created using CNN can be used to detect facial expressions in real time. The system can be used for analysis of emotions while users watch movie trailers or video lectures.

Keywords: Facial Expression Recognition, Convolutional Neural Networks, Deep Learning, Transfer Learning

JEL Classification: Y60

Suggested Citation

Talegaonkar, Isha and Joshi, Kalyani and Valunj, Shreya and Kohok, Rucha and Kulkarni, Anagha, Real Time Facial Expression Recognition using Deep Learning (May 18, 2019). Proceedings of International Conference on Communication and Information Processing (ICCIP) 2019, Available at SSRN: https://ssrn.com/abstract=3421486 or http://dx.doi.org/10.2139/ssrn.3421486

Isha Talegaonkar (Contact Author)

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India ( email )

Kalyani Joshi

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India ( email )

Shreya Valunj

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India ( email )

Rucha Kohok

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India ( email )

Anagha Kulkarni

MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune-411052, India ( email )

Here is the Coronavirus
related research on SSRN

Paper statistics

Downloads
568
Abstract Views
1,978
rank
52,125
PlumX Metrics