Facial Expressions are used as an one of the nonverbal communication. You can often learn about the feelings and mood of person through his facial expression.
Abstract
Facial Expressions are used as an one of the nonverbal communication. You can often learn about the feelings and mood of person through his facial expression. Hence, there is importance of system for detecting facial expression in various fields, from the use of robots for older people and people with disabilities, through the entertainment field such as happiness detecting and until faces detection for security needs such as disclosure suspects by “reading” their features. The purpose of this project is to create a system for facial expression detection.
The Problem
How to classify the emotion of a man (or robot) based on a photo only?!
Solutions
In order to better examine the solution, we divide it into three parts:
- Build a Data Base
- Get an image input and process it
- Finding the most appropriate face expression
Flowchart
Results and Demonstration
Real Expression Face: Happy
Real Expression Face: Surprised
Conclusions
- In order to achieve best results, the data base of the expression faces should be bigger as possible.
- Checking images pixel-pixel (or feature-feature) is not a good method, mainly for the Gaussian case