Authors :
Sreeja SS; Master Sharath R
Volume/Issue :
Volume 7 - 2022, Issue 7 - July
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3AsXE5b
DOI :
https://doi.org/10.5281/zenodo.7008327
Abstract :
Listening to different types of music of one’s
individual taste and mood is something that people desire
for. On an average person spends most of his time on
listening to music. Music has a high impact on an
individual’s brain activity. In the recent events there are
plenty of music in different language and style that people
are getting confused to select the exact music that suit’s
that person’s particular emotion at time. In the existing
system, the algorithms in use are relatively slow, less
accurate and sometimes require use of additional
hardware like EEG or sensors. Emotions of a person are
easy to identify using the facial expressions. My model is
based on identifying the person’s emotion or mood to play
the relevant songs for the emotion. In this project we use
Haar Cascade algorithm to identify the facial expressions,
we are also using the real time data set to identify the
emotion of the user. My project will be voice activated,
easy to access and make sure that it doesn’t affect the
individual’s daily life. It also monitors the emotional status
of the person at the end of every song’s starting and ending
to have a medical dataset of the individual’s emotions
status.
Keywords :
Emotion and Face Detection, Machine Learning, Music, Python, Tensorflow
Listening to different types of music of one’s
individual taste and mood is something that people desire
for. On an average person spends most of his time on
listening to music. Music has a high impact on an
individual’s brain activity. In the recent events there are
plenty of music in different language and style that people
are getting confused to select the exact music that suit’s
that person’s particular emotion at time. In the existing
system, the algorithms in use are relatively slow, less
accurate and sometimes require use of additional
hardware like EEG or sensors. Emotions of a person are
easy to identify using the facial expressions. My model is
based on identifying the person’s emotion or mood to play
the relevant songs for the emotion. In this project we use
Haar Cascade algorithm to identify the facial expressions,
we are also using the real time data set to identify the
emotion of the user. My project will be voice activated,
easy to access and make sure that it doesn’t affect the
individual’s daily life. It also monitors the emotional status
of the person at the end of every song’s starting and ending
to have a medical dataset of the individual’s emotions
status.
Keywords :
Emotion and Face Detection, Machine Learning, Music, Python, Tensorflow
