Human Mood Detection For Human Computer Interaction

TL;DR

This paper presents a simple and fast facial expression recognition method using skin filtering, edge projection analysis for feature extraction, and SVM classification to identify six basic emotions.

Contribution

It introduces an efficient approach combining skin filtering, edge projection, and SVM for quick facial expression recognition.

Findings

Effective for applications requiring fast execution

Accurately classifies six basic expressions

Utilizes simple yet robust feature extraction techniques

Abstract

In this paper we propose an easiest approach for facial expression recognition. Here we are using concept of SVM for Expression Classification. Main problem is sub divided in three main modules. First one is Face detection in which we are using skin filter and Face segmentation. We are given more stress on feature Extraction. This method is effective enough for application where fast execution is required. Second, Facial Feature Extraction which is essential part for expression recognition. In this module we used Edge Projection Analysis. Finally extracted features vector is passed towards SVM classifier for Expression Recognition. We are considering six basic Expressions (Anger, Fear, Disgust, Joy, Sadness, and Surprise)