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.
Paper
Full text
Real Time Facial Expression Recognition using Deep Learning
Semantic Scholar · Computer Science · 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.