MUSIC RECOMMENDATION SYSTEM BY FACIAL EMOTION

Irfani, Muhammad Abid (2023) MUSIC RECOMMENDATION SYSTEM BY FACIAL EMOTION. Other thesis, Politeknik Negeri Sriwijaya.

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Abstract

Musik memiliki dampak kuat pada suasana hati kita, dan dapat membuat kita merasa lebih baik atau lebih tenang. Namun, dengan banyaknya jumlah lagu yang tersedia saat ini, sulit untuk secara manual membuat daftar putar berdasarkan suasana hati kita untuk setiap kalinya. Untungnya, dengan kemajuan teknologi, seperti pemrosesan sinyal digital dan ekstraksi fitur, teknologi dapat menawarkan solusi untuk masalah ini. Proyek ini bertujuan untuk mengembangkan sistem yang dapat secara otomatis mendeteksi emosi seseorang dengan menganalisis ekspresi wajah mereka menggunakan kamera dan model Convolutional Neural Networks (CNN). CNN akan memungkinkan deteksi ekspresi wajah yang akurat dan efisien, meningkatkan kemampuan sistem untuk memahami emosi pengguna. Begitu emosi diidentifikasi, sistem akan merekomendasikan daftar putar lagu yang cocok dengan suasana hati orang tersebut, membantu mereka merasa bahkan lebih baik. Jika seseorang sedang merasa sedih, sistem akan menyarankan daftar putar dengan musik yang membangkitkan semangat yang dikenal untuk memperbaiki suasana hati mereka. Di sisi lain, jika seseorang merasa positif, sistem akan menawarkan daftar putar dengan berbagai musik yang meningkatkan emosi positif mereka. Dengan memanfaatkan kemampuan CNN dan rekomendasi daftar putar otomatis, proyek ini bertujuan untuk meningkatkan pengalaman pengguna dengan menyediakan musik yang sejalan dengan emosi mereka, menciptakan suasana yang menyenangkan dan menyenangkan."

Item Type: Thesis (Other)
Uncontrolled Keywords: Musik, Daftar Putar, Convolutional Neural Networks, Deteksi Ekspresi Wajah.
Subjects: T Technology > T Technology (General)
Divisions: Informatics Management > Undergraduate Theses
Depositing User: Mr Bambang Anthony
Date Deposited: 28 Feb 2024 09:25
Last Modified: 28 Feb 2024 09:25
URI: http://eprints.polsri.ac.id/id/eprint/14623

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