Adaptive Processing of Sequences and Data Structures, International Summer School on Neural Networks, "E.R. Caianiello"-Tutorial Lectures
Design of a structured 3D SOM as a music archive
WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps
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This paper uses brainwaves to recognize the computer activity of the user and provides music recommendation. Twenty-three (23) hours of data collection was performed by asking the computer user to wear a device that collects electroencephalogram (EEG) signals from his brain as he performed whatever tasks he wanted to perform while listening to music. The features of the preferred song given the activity of the user is used to provide songs for the user automatically. Activities were classified as either academic or leisure. The music provision model was able to predict the music features preferred by the user with accuracy of 76%.