EmotiSync: Music Recommendation System Using Facial Expressions
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4182-5_1
Reference8 articles.
1. Lehtiniemi, A., & Holm, J. (2012). Using animated mood pictures in music recommendation. In 16th International Conference on Information Visualisation (pp. 143–150). https://doi.org/10.1109/IV.2012.34
2. Chuang, G. (2015). EmotiSphere: From emotion to music. In TEI15 Proceedings of the Ninth International Conference on Tangible, Embedded Embodied Interaction (pp. 599–602). ACM.
3. Bhat, A.S., Amith, V., Prasad, N.S., & Mohan, D.M. (2014). An efficient classification algorithm for music mood detection in Western and Hindi music using audio feature extraction. In 5th International Conference on Signal and Image Processing (ICSIP), Jeju Island (pp. 359–364). https://doi.org/10.1109/icsip.2014.63
4. Patil, J.V., & Bailke, P. (2016). Real time facial expression recognition using RealSense camera and ANN. In International Conference on Inventive Computation Technologies (ICICT) (pp. 1–6). https://doi.org/10.1109/INVENTIVE.2016.7824820
5. Priya, M., Haritha, M., Jayashree, S., Sathyakala, M. (2018). Smart music player integrating facial emotion recognition. International Science and Technology Journal, 7(4).
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