INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
— It is sometimes0difficult for a0person to0choose
which music and movie to listen to or watch from0a vast array
of available0selections. Depending on the user's0mood, there
have been numerous recommendation frameworks0accessible
for concerns such as music, 0dining, and shopping. The primary
goal of our music recommendation0system is to present
consumers with options that match their interests. The
examination of the user's facial expression/emotion may lead0to
a better understanding0of the user's present emotional or
mental0state. Music and Movies are one area where there is a
huge opportunity to provide several0options to clients based on
their preferences and0collected data.
Humans are widely recognized for using0facial expressions
to indicate0what they wish to say and the context0in which they
meant their words. More than060% of users say that at some
point in time, the quantity of0songs in their music collection is
so enormous that they are0unable to determine which song to
play. By creating a0suggestion system, it may be possible to aid
a user in deciding which music to listen to, hence reducing the
user's stress levels. The user would0not have to waste time
searching or looking for0songs, and the best track matching the
user's mood would be recognized, and songs0would be displayed
to the user based on0his/her mood. The picture of the user is
taken using a0webcam. The user's photo is captured, and then,
based on the user's mood/emotion, 0an appropriate songs and
movies from the user's playlist0is shown, suiting the user's
requirements.
Keywords:
Face Recognition, Feature extraction, Emotion detection, Recognition, Music, Movie, Web-cam.
Cite Article:
"Music and Movie Recommendation Through Emotion Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.d365-d371, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305349.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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