XPod: A Human Activity Aware Learning Mobile Music Player
2007 (English)In: Proceedings of the Workshop on Ambient Intelligence, 20th International Joint Conference on Artificial Intelligence, 2007Conference paper (Refereed)
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
Electrical Engineering, Electronic Engineering, Information Engineering
IdentifiersURN: urn:nbn:se:kth:diva-79896OAI: oai:DiVA.org:kth-79896DiVA: diva2:495797
IJCAI-2007, International Joint Conference on Artificial Intelligence. Hyderabad, India. January 6-12 2007
QC 201205232012-02-092012-02-092012-05-23Bibliographically approved