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MUSIC RECOMMENDATIONS REAL-TIME BASED ON FACE EMOTIONS
Authors Name:
M HARSHAVARDHAN REDDY
, MUTHU VENKATA KRISHNAN , PASALA SAI SUMAN , REDDI CHANDU , JASWANTH KOMMU
Unique Id:
IJSDR2305143
Published In:
Volume 8 Issue 5, May-2023
Abstract:
The face is an important aspect in predicting human emotions and mood. Usually the human emotions are extracted with the use of camera. There are many applications getting developed based on detection of human emotions. Few applications of emotion detection are business notification recommendation, e-learning, mental disorder and depression detection, criminal behaviour detection etc. In this proposed system, we develop a prototype in recommendation of dynamic music recommendation system based on human emotions. Based on each human listening pattern, the songs for each emotions are trained. Integration of feature extraction and machine learning techniques. Therefore our projected system concentrate on identifying the human feelings for developing emotion based music player using computer vision and machine learning techniques. For experimental results, we use openCV for emotion detection and music recommendation.
Keywords:
MUSIC RECOMMENDATIONS ON FACIAL EXPRESSIONS
Cite Article:
"MUSIC RECOMMENDATIONS REAL-TIME BASED ON FACE EMOTIONS", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.935 - 940, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305143.pdf
Downloads:
000222060
Publication Details:
Published Paper ID: IJSDR2305143
Registration ID:206402
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 935 - 940
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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