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XPod: A Human Activity Aware Learning Mobile Music Player
University of Maryland, Baltimore County.
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2007 (English)In: Proceedings of the Workshop on Ambient Intelligence, 20th International Joint Conference on Artificial Intelligence, 2007Conference paper, Published paper (Refereed)
Abstract [en]

The XPod system, presented in this paper, aimsto integrate awareness of human activity and musicalpreferences to produce an adaptive systemthat plays the contextually correct music. TheXPod project introduces a “smart” music playerthat learns its user’s preferences and activity, andtailors its music selections accordingly. We are usinga BodyMedia device that has been shown to accuratelymeasure a user’s physiological state. Thedevice is able to monitor a number of variables todetermine its user’s levels of activity, motion andphysical state so that it may predict what music isappropriate at that point. The XPod user trains theplayer to understand what music is preferred andunder what conditions. After training, the XPod,using various machine-learning techniques, is ableto predict the desirability of a song, given the user’sphysical state.

Place, publisher, year, edition, pages
2007.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-79896OAI: oai:DiVA.org:kth-79896DiVA: diva2:495797
Conference
IJCAI-2007, International Joint Conference on Artificial Intelligence. Hyderabad, India. January 6-12 2007
Note
QC 20120523Available from: 2012-02-09 Created: 2012-02-09 Last updated: 2012-05-23Bibliographically approved

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