Emotional states recognition by interpreting facial features

There is an increasing trend for finding solutions to interact with computers, and computers in turn interact with people. For an effective human-computer intelligent interaction, this must be natural, the computer interpreting the user's emotional state to adapt to its behavior, giving an appropriate response to those emotions. This paper presents a software application for emotional states recognition based on facial features, according to face shape, position and shape of the mouth and nose. This application has the ability to recognize emotions from user captured images with a web camera, using OpenCV, an open source Computer Vision and machine learning software library.