Recognition and Classification of Smiles using Computer Vision

A simple method for the recognition and classification of varied types of smiles using the basics of machine learning is proposed in this paper. Machine-human interaction has seen exponential growth in the last decade. Key features of this interaction include emotion detection. A smiling face is often considered a sign of euphoria and excitement. The analysis is performed on real-time video sequence. The algorithm used for detection is a 68-point facial landmark recognition with aspect ratio calculation of facial features such as mouth and eyes.