Expression X: Emotion Based Music Recommendation System
2020 ◽
Vol 17
(9)
◽
pp. 3958-3963
Keyword(s):
This Paper proposes method to recommend a set of songs based on the facial emotion state of the user. Emotion state of the user is detected with the help of google mobile vision SDK. The detected emotion state is fed to Expression-X algorithm that would sort the music (based on emotion value is keyed in) and generates a playlist which suites the emotion state of user. Since emotions are calculated based on the facial expression of a user, achieving 100% accuracy is undoubtedly hard as everyone has their own way of expressing emotions facially, with repetitive testing we have achieved 70–75% success rate in detecting the rite emotion state of the user, and generating the suitable set of song recommendation.
2021 ◽
Vol 26
◽
pp. 28-31
2020 ◽
Vol 17
(4)
◽
pp. 1662-1665
2020 ◽
Vol 912
◽
pp. 062007
2018 ◽
Vol 6
(7)
◽
pp. 1498-1501
2021 ◽
Vol 1071
(1)
◽
pp. 012021
2020 ◽
Vol 8
(4)
◽
pp. 367