Facial Emotion Based Music Recommendation System Using Computer Vision and Machine Learning

Facial Emotion Based Music Recommendation System Using Computer Vision and Machine Learning

"Harshali Ragite", "Jayant Gabhane", "Shreyash Bichhore", "Tejas Fasate", "Aishwarya Pardhi"

Abstract: The face is an important aspect in predicting human emotions and mood. Usually the human emotions are extracted with the use of camera. There are many applications getting developed based on detection of human emotions. Few applications of emotion detection are business notification recommendation, e-learning, mental disorder and depression detection, criminal behaviour detection etc. In this proposed system, we develop a prototype in recommendation of dynamic music recommendation system based on human emotions. Based on each human listening pattern, the songs for each emotions are trained. Integration of feature extraction and machine learning techniques, from the real face the emotion are detected and once the mood is derived from the input image, respective songs for the specific mood would be played to hold the users. In this approach, the application gets connected with human feelings thus giving a personal touch to the users. Therefore our projected system concentrate on identifying the human feelings for developing emotion based music player using computer vision and machine learning techniques. For experimental results, we use openCV for emotion detection and music recommendation.

Keywords: Music recommendation, Emotions recognition, Detection.