The Emo player project is a unique emotion-based music player. It automatically selects songs based on the user’s facial emotions, using the Support Vector Machine (SVM) algorithm for emotion recognition. Training data from Olivetti faces with 400 faces and webcam captures are used to extract facial features for emotion analysis.
Collecting images from video or collecting raw images to which we need to predict the gender and age of persons
From the image it is needed to predict the accurate face position.
Extracting feature features and recognizing emotion.
Based on extracted emotion from face select suitable song from song dataset.