Impression and Pleasure-based Music Playlist Generation Method for Placing the Listener in a Positive Mood
Author:
Affiliation:
1. Graduate School of Frontier Informatics, Kyoto Sangyo University
2. Kyoto Sangyo University
Publisher
Japan Society of Kansei Engineering
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/ijae/22/2/22_IJAE-D-22-00027/_pdf
Reference23 articles.
1. 1. Morizumi, S., and Ogino, A.; Personalized music playlist generation method for placing the listener in a positive mood, International Journal of Affective Engineering, 21(3), pp.159-168, 2022.
2. 2. Assuncao, W. G., and Almeida Neris, V. P.; An algorithm for music recommendation based on the user's musical preferences and desired emotions, In; Proceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia, pp.205-213, 2018.
3. 3. Nathan, K. S., Arun, M., and Kannan, M. S.; EMOSIC – An emotion based music player for Android, In; 2017 IEEE International Symposium on Signal Processing and Information Technology, pp.371-276, 2017.
4. 4. Chiu, M. C., and Ko, L. W.; Develop a personalized intelligent music selection system based on heart rate variability and machine learning, Multimedia Tools and Applications, 76(14), pp.15607-15639, 2017.
5. 5. Ramanathan, R., Kumaran, R., Rohan, R. R., Gupta, R., and Prabhu, V.; An intelligent music player based on emotion recognition, In; 2017 2nd International Conference on Computational Systems and Information Technology for Sustainable Solution, pp.1-5, 2017.
Cited by 2 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. Modeling the state of mind when listening to Positive Mood Playlist using Bayesian inference;International Symposium on Affective Science and Engineering;2024
2. Personalized Playlist Generation for Shifting a Person into Positive Feelings;Journal of Japan Society of Kansei Engineering;2023-12-31
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