Paper Details

This project puts forth a framework for real time face and voice recognition and related emotion detectionsystem based on facial features, their actions and intensity of voice. The key elements of Face are considered forprediction of face emotions of the user. The diff erences in each facial feature which are in-variant to scaling as well asrotation are used to determine the diff erent emotions of face. Machine learning algorithms are used for recognition andclassification of diff erent classes of face emotions by providing training of diff erent set of images. In this context, byimplementing herein algorithms would contribute in several areas of identification and many real-world problems. Theproposed algorithm is implemented using open source computer vision (OpenCV) and Machine learning. We have givena set of images and sounds each image containingmultiple faces and is associated withsome names in the associatedcaption. The aim of naming faces is to detectright emotions for each face where as incase of sound we sound meter isused to take input and then classification the input is donewith the help of various classification algorithms.

Prof M. P Nerkar, Neha Chhajed, Surykant Wankhade, “Emotion Based Music Player With The Help Of SIFT And k-NN Algorithms”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 16, pp. -, January 2017.