updated 2018-19 final (1)

TECH PULSE 2018-2019
Korukonda Mahesh
Kumar
16A31A0541
EMOTION BASED MUSIC PLAYER
Features:
The facial expressions categorize into 5 different of facial
expressions like anger, joy, surprise, sad, and excitement
• An emotion model is proposed that classifies a song based
on any of the 7 classes of emotions viz sad, joy-anger,
joysurprise, joy-excitement, joy, anger, and sad-anger.
Requirement:
• Track User Emotion
• Recommend by Sorting playlist based on user’s current
emotion
• Sort songs by 2 factors o Relevancy to User Preference o
Effect on User Emotion
Advantages:
Extremely fast feature computation
Efficient feature selection
Scale and location invariant detector
Instead of scaling the image itself (e.g. pyramid-filters),
we scale the features.
Such a generic detection scheme can be trained for
detection of other types of objects (e.g. cars, hands)
Emotion extraction module:
• Done by the analysis on Images, Image of a user is
captured using a webcam or it can be accessed from the
stored image in the hard disk.
• This acquired image undergoes image enhancement in the
form of tone mapping in order to restore the original
contrast of the image.
• converted into binary image format for the detection of
face using Viola and Jones algorithm (Frontal Cart
property)
REFERENCES:
https://www.slideshare.net/nizamotp/emotion-based-musicplayer-58090818?from_action=save
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