Music Recommendation System Using Facial Emotions

Author:

Sharath P.1,Senthil Kumar G.1,Vishnu Boj K.S.1

Affiliation:

1. SRM Institute of Science and Technology

Abstract

Emotions play an important role in human life. Extracting human emotions is important because it conveys nonverbal communication cues that play an important role in interpersonal relations. In recent years, facial emotion detection has received massive attention, and many businesses have already utilized this technology to get real-time analytics and feedback from customers to help their business grow. Currently, we have to manually find playlists according to our mood, and it's time-consuming and stressful. Therefore, this process is made automated and simple in this project by proposing a recommendation system for emotion recognition that is capable of detecting the users' emotions and suggesting playlists that can improve their mood. Implementation of the proposed recommender system is performed using Caffemodel to detect faces and the MLP Classifier to detect facial emotions based on the KDEF dataset.

Publisher

Trans Tech Publications Ltd

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Emotion Based Music Recommendation System;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28

2. Research on personalized music recommendation model based on human physiological signals;Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security;2024-05-10

3. A research on a music recommendation system based on facial expressions through deep learning mechanisms;Gamification and Augmented Reality;2024-01-01

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