Facial recognition and emotion detection in deep learning

Project Title

Project Area of Specialization

Artificial Intelligence

Project Summary

A Facial expression is the visible manifestation of the affective state, cognitive activity,
intention, personality and psychopathology of a person and plays a communicative role in
interpersonal relations. It have been studied for a long period of time and obtaining the
progress recent decades. Though much progress has been made, recognizing facial
expression with a high accuracy remains to be difficult due to the complexity and
varieties of facial expressions

Project Objectives

1. To develop a facial expression recognition system.
2. To experiment machine learning algorithm in computer vision fields.
3. To detect emotion thus facilitating Intelligent Human-Computer Interaction.

Project Implementation Method

Step 1: Face Detection. To begin, the camera will detect and recognize a face, either alone or in a crowd. ...
Step 2: Face Analysis. Next, a photo of the face is captured and analyzed. ...
Step 3: Converting An Image to Data. ...
Step 4: Finding a Match.

Benefits of the Project

Facial expressions of emotion are probably the most important signal of the face because they tell us about people's personalities, emotions, motivations, or intent. They are not only signs of people's internal states; they are also signals to others to act in certain ways, providing messages for social coordination.