Open AccessEmotion Based Smart Music Player
Author(s) -
Chavi Ralhan,
Kodamanchili Mohan,
Kalleda Vinay Raj,
Pendli Anirudh Reddy,
Pannamaneni Saiprasad
Publication year - 2021
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2172130
Subject(s) - facial expression , mood , computer science , emotion detection , lift (data mining) , human–computer interaction , expression (computer science) , artificial intelligence , emotion recognition , facial expression recognition , speech recognition , psychology , feature extraction , facial recognition system , machine learning , social psychology , programming language
Every individual human might have completely different faces; however, their expressions tell us the same story and it notably plays a significant role in extraction of an individual’s emotions and behavior. Music is the purest form of art and a medium of expression, which is known to have a greater connection with a person’s emotions. It has a novel ability to lift one’s mood. This project system focuses on building an efficient music player which works on emotion of user using facial recognition techniques. The facial features extracted will generate a system thereby reducing the effort and time involved in doing it manually. Facial data is captured by employing a camera. The emotion module makes use of deep learning techniques to spot the exact mood relative to that expression. The accuracy of mood detection module in the system for real time footage is above 80%; while for static pictures it is 95 to one hundred percent. Therefore, it brings out higher accuracy relating to time and performance.