In this demo, we present HeartPlayer as a smart music player that can understand the music. When a song is being played, an animation figure expresses the emotion of the song by certain facial expressions. Meanwhile, the emotion of the music item is calculated according to the music features retrieved by a program running in the backstage. In GUI, we use six colors to indicate the six classes of songs with different emotions. Moreover, by recording the user's play history, HeartPlayer gets a series of analysis results, including the user's preference, today's mood and music personality. Our contribution mainly lies in providing a novel music player interface, and also exploring new facilities in music player. © 2011 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Fan, S., Tan, C., Fan, X., Su, H., & Zhang, J. (2011). HeartPlayer: A smart music player involving emotion recognition, expression and recommendation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6524 LNCS, pp. 483–485). https://doi.org/10.1007/978-3-642-17829-0_47
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