# Facial-Expression-Recognition

**Repository Path**: tangjiaming/Facial-Expression-Recognition

## Basic Information

- **Project Name**: Facial-Expression-Recognition
- **Description**: Facial expression classification using salient pattern driven integrated geometric and textual features
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-10-29
- **Last Updated**: 2020-12-31

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Facial-Expression-Recognition
Facial expression classification using salient pattern driven integrated geometric and textual features
1. Using CK+ face dataset
2. Extract salient patterns of geometric and textual features
3. Based on the above features, using one vs rest SVM and other traditional machine learning algorithms in traditional_modeling.py
4. Also apply on deep learning frameworks like CNN
5. The accuracy of SVM has reached 86.58% for 7 emotions classification and more than 96% for 6 emotions classification (except contempt)