Abstract
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.
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References
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© 2011 Springer-Verlag Berlin Heidelberg
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Fan, S., Tan, C., Fan, X., Su, H., Zhang, J. (2011). HeartPlayer: A Smart Music Player Involving Emotion Recognition, Expression and Recommendation. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_47
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DOI: https://doi.org/10.1007/978-3-642-17829-0_47
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17828-3
Online ISBN: 978-3-642-17829-0
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