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Emotion based song recommendation

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dc.contributor.author Ehshan, Amimul
dc.contributor.author Dider, Md. Naymul Haque
dc.contributor.author Sagor, Md. Asaduzzaman
dc.date.accessioned 2018-07-28T09:38:25Z
dc.date.accessioned 2019-06-08T09:40:13Z
dc.date.available 2018-07-28T09:38:25Z
dc.date.available 2019-06-08T09:40:13Z
dc.date.issued 2018-05-08
dc.identifier.uri http://hdl.handle.net/20.500.11948/2597
dc.description.abstract Humans 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. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Song recommendation en_US
dc.subject Emotion based song recommendation en_US
dc.subject Emotion recognize en_US
dc.title Emotion based song recommendation en_US
dc.type Thesis en_US


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