
Music Player u sing Emotion Recognition
Author(s) -
Abhay Chopde,
AUTHOR_ID,
Anuradha Lohar,
Mitul,
Swaraj Mane,
Shaurya Mhaske,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID,
AUTHOR_ID
Publication year - 2022
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.c9761.0111322
Subject(s) - mood , psychology , facial expression , soul , face (sociological concept) , cognitive psychology , feeling , expression (computer science) , social psychology , aesthetics , communication , computer science , art , theology , sociology , programming language , social science , philosophy
Expression of humans has a very crucial role in determining the present state and the mood of a person. It helps in the extraction of the emotion by understanding the different features of the face like cheeks, forehead, eyes, or maybe the curvature of the smile. Music plays a crucial role in the daily lifestyle. It is essentially a kind of thing that soothes and calms the body, brain and soul of a human. During this fast-paced lifestyle, everyone goes through a roller coaster of emotions and changes in moods within seconds. People tend to listen to music according to their emotions. Hence, we have chosen emotion and music and combined them together. Our program will first detect facial expressions and using that it will recognize the emotion of a human being. This is done through counting of repeated integers in a trained model and playing music favorable with the mood detected. This will alleviate the mood or just calm the individual. It may also be able to fetch quicker songs consistent with the mood, saving time looking up for different songs. Parallelly developing a software which will be used anywhere with the assistance of providing the functionality of playing music consistent with the emotion detected. People tend to concentrate on songs consistent with their moods, and it feels very frustrating if a tragic song starts playing when you are happy. It seems like a burden to constantly visit the music application to vary the song. Therefore, in this work, we've come up with a solution in which we will use computer vision to detect the emotion of an individual and therefore the system shall play a song consistent with the mood of the client.