An Improved Music Recommendation System for Facial Recognition and Mood Detection
A user can choose the song using a number of strategies. This system finds the user’s mood and recommends music in accordance with that mood. The main objective is to accurately assess the user’s mood in a friendly way. Listeners are introduced to a machine learning application that plays song based...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2023/06/itmconf_icdsac2023_01004.pdf |
| _version_ | 1797745607695138816 |
|---|---|
| author | S Shakthi Sri S Sathya T Pandiarajan |
| author_facet | S Shakthi Sri S Sathya T Pandiarajan |
| author_sort | S Shakthi Sri |
| collection | DOAJ |
| description | A user can choose the song using a number of strategies. This system finds the user’s mood and recommends music in accordance with that mood. The main objective is to accurately assess the user’s mood in a friendly way. Listeners are introduced to a machine learning application that plays song based on the user’s mood. Finding the user’s expression using Artificial Neural Network model, which expresses their emotions, can help with this. Compared to speaking, facial expressions reveal a lot more about a person. Users are finding it challenging to select the song that they want to listen to due to the daily increase in the number of songs being created. In order to address, our recommendation system gives users a selection of songs that are automatically added to their customized playlist based on the user’s mood. |
| first_indexed | 2024-03-12T15:25:43Z |
| format | Article |
| id | doaj.art-5b8edd2ef96c4f08a3942bd179fef788 |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-03-12T15:25:43Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-5b8edd2ef96c4f08a3942bd179fef7882023-08-10T13:16:50ZengEDP SciencesITM Web of Conferences2271-20972023-01-01560100410.1051/itmconf/20235601004itmconf_icdsac2023_01004An Improved Music Recommendation System for Facial Recognition and Mood DetectionS Shakthi Sri0S Sathya1T Pandiarajan2Rajalakshmi Institute of TechnologyRajalakshmi Institute of TechnologyRajalakshmi Institute of TechnologyA user can choose the song using a number of strategies. This system finds the user’s mood and recommends music in accordance with that mood. The main objective is to accurately assess the user’s mood in a friendly way. Listeners are introduced to a machine learning application that plays song based on the user’s mood. Finding the user’s expression using Artificial Neural Network model, which expresses their emotions, can help with this. Compared to speaking, facial expressions reveal a lot more about a person. Users are finding it challenging to select the song that they want to listen to due to the daily increase in the number of songs being created. In order to address, our recommendation system gives users a selection of songs that are automatically added to their customized playlist based on the user’s mood.https://www.itm-conferences.org/articles/itmconf/pdf/2023/06/itmconf_icdsac2023_01004.pdf |
| spellingShingle | S Shakthi Sri S Sathya T Pandiarajan An Improved Music Recommendation System for Facial Recognition and Mood Detection ITM Web of Conferences |
| title | An Improved Music Recommendation System for Facial Recognition and Mood Detection |
| title_full | An Improved Music Recommendation System for Facial Recognition and Mood Detection |
| title_fullStr | An Improved Music Recommendation System for Facial Recognition and Mood Detection |
| title_full_unstemmed | An Improved Music Recommendation System for Facial Recognition and Mood Detection |
| title_short | An Improved Music Recommendation System for Facial Recognition and Mood Detection |
| title_sort | improved music recommendation system for facial recognition and mood detection |
| url | https://www.itm-conferences.org/articles/itmconf/pdf/2023/06/itmconf_icdsac2023_01004.pdf |
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