Emotion based song recommendation

dc.contributor.authorEhshan, Amimul
dc.contributor.authorDider, Md. Naymul Haque
dc.contributor.authorSagor, Md. Asaduzzaman
dc.date.accessioned2018-07-28T09:38:25Z
dc.date.accessioned2019-06-08T09:40:13Z
dc.date.available2018-07-28T09:38:25Z
dc.date.available2019-06-08T09:40:13Z
dc.date.issued2018-05-08
dc.description.abstractHumans show universal consistency in recognizing emotions but also show a great deal of variability between individuals in their abilities. Emotion recognition is used for a variety of reasons. Emotion recognition is the process of identifying human emotion, most typically from facial expressions. This is both something that humans do automatically but computational methodologies have also been developed. After recognition the emotion we will suggest a song which is based on his/her emotion. If he/she is sad, happy, angry then we will suggest him/her a song which is best for them. And it will change his/her mood if he/she is sad, angry or depressed then it will turn into happy mode. It helps to change the emotion of a person. We use php, JavaScript, MySQL database for this project and D3 for bar chart, clmtracker library for emotion recognition and html, css for design. This application is easy to use and it is user friendly. To use this application user must have a camera in his/her device, without camera it will not work. After finishing all of the part of this application it works properly and it gives us approximately 95% correct result.
dc.identifier.otherhttp://dspace.daffodilvarsity.edu.bd:8080/handle/20.500.11948/2597
dc.identifier.urihttp://hdl.handle.net/20.500.11948/2597
dc.language.isoen_US
dc.publisherDaffodil International University
dc.sourceDIU Institutional Repository
dc.subjectSong recommendation
dc.subjectEmotion based song recommendation
dc.subjectEmotion recognize
dc.titleEmotion based song recommendation
dc.typeThesis

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