Towards providing music for academic and leisurely activities of computer users

Authors:
Roman Joseph Aquino;Joshua Rafael Battad;Charlene Frances Ngo;Gemilene Uy;Rhia Trogo;Roberto Legaspi;Merlin Teodosia Suarez
Affiliations:
De La Salle University Manila, Manila, Philippines;De La Salle University Manila, Manila, Philippines;De La Salle University Manila, Manila, Philippines;De La Salle University Manila, Manila, Philippines;De La Salle University Manila, Manila, Philippines;De La Salle University Manila, Manila, Philippines;De La Salle University Manila, Manila, Philippines
Venue:
PRICAI'12 Proceedings of the 12th Pacific Rim international conference on Trends in Artificial Intelligence
Year:
2012

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Abstract

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%.