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EMOTION DETECTION AND MUSIC RECOMMENDATION SYSTEM BASED ON USER FACIAL EXPRESSION

  • Unique Paper ID: 164712
  • Volume: 10
  • Issue: 12
  • PageNo: 2418-2424
  • Abstract:
  • It is frequently confounding for a individual to choose which music he/she have to tune in from a massive collection of existing alternatives. There have been a few proposal frameworks available for issues like music, eating, and shopping depending upon the disposition of client. The main objective of our music proposal framework is to give proposals to the clients that fit the user’s inclinations. The investigation of the facial expression/user feeling may lead to understanding the current enthusiastic or mental state of the client. Music and recordings are one region where there is a noteworthy chance to endorse plenteous choices to clients in light of their slants and moreover recorded data. It is well known that people make utilize of facial expressions to express more clearly what they need to say and the setting in which they meant their words. More than 60 percent of the clients accept that at a certain point of time the number of melodies show in their tunes library is so huge that they are incapable to figure out the song which they have to play. By creating a proposal framework, it seem help a client to make a choice with respect to which music one ought to tune in to making a difference the client to diminish his/her stress levels. The client would not have to squander any time in looking or to see up for songs and the best track coordinating the user’s temperament is identified, and melodies would be appeared to the user according to his/her temperament. The picture of the client is captured with the offer assistance of a webcam. The user’s picture is taken and at that point as per the mood/emotion of the client an fitting melody from the playlist of the client is appeared coordinating the user’s prerequisite
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Cite This Article

  • ISSN: 2349-6002
  • Volume: 10
  • Issue: 12
  • PageNo: 2418-2424

EMOTION DETECTION AND MUSIC RECOMMENDATION SYSTEM BASED ON USER FACIAL EXPRESSION

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Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

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