The emotion recognition algorithm consists of three distinct processes:
- Feature Extraction - Transforms data collected into categorized forms
- Features Selection - Removes extraneous "noise" so that the integrity of the data is maintained
- Classifier Learning - Allows the data collection algorithm to become familiar with our personal trends and responses