This document discusses emotion recognition through facial expressions. It identifies the seven main facial emotions of disgust, fear, happy, surprise, sad, anger, and neutral. It also explains that emotions are reflected in voice, gestures, and mainly facial expressions. The proposed methodology for emotion recognition includes inputting an image, pre-processing, face detection, facial feature extraction, emotion classification, and outputting the identified expression.

2. Introduction

3. What is Emotion?
Emotions are reflected in voice, hand and body
gestures , and mainly through facial expressions

4. Facial Emotion
There are seven types of common facial emotions.
• Disgust
• Fear
• Happy
• Surprise
• Sad
• Anger
• Neutral

5. Importance of
emotion recognition
• Human beings express emotions in day to
day interactions.
• Understanding emotions and knowing how to
react to people’s expressions greatly
enriches the interaction

6. Proposed Methodology
1. Input Image
2. Pre-processing
3. Face detection
4. Facial feature extraction
5. Emotion classification
6. Output/identified expression

7. Implementation
1. Pre-processing
2. Face registration
3. Facial feature extraction
4. Emotion classification

8. 1. Pre-processing
Pre-processing is a common name for operations with images at the lowest level of
abstraction both input and output are intensity images.
Most pre-processing steps that are implemented are
• Reduce the noise
• Convert the images to binary/greyscale
• Pixel brightness transformation
• Geometric transformation