XPod: A Human Activity Aware Learning Mobile Music Player

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dc.contributor.authorDornbush, Sandor
dc.contributor.authorEnglish, Jesse
dc.contributor.authorOates, Tim
dc.contributor.authorSegall, Zary
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-29T19:39:16Z
dc.date.available2018-11-29T19:39:16Z
dc.date.issued2007-01-08
dc.descriptionProceedings of the Workshop on Ambient Intelligence, 20th International Joint Conference on Artificial Intelligence (IJCAI-2007)en_US
dc.description.abstractThe XPod system, presented in this paper, aims to integrate awareness of human activity and musical preferences to produce an adaptive system that plays the contextually correct music. The XPod project introduces a “smart” music player that learns its user’s preferences and activity, and tailors its music selections accordingly. We are using a BodyMedia device that has been shown to accurately measure a user’s physiological state. The device is able to monitor a number of variables to determine its user’s levels of activity, motion and physical state so that it may predict what music is appropriate at that point. The XPod user trains the player to understand what music is preferred and under what conditions. After training, the XPod, using various machine-learning techniques, is able to predict the desirability of a song, given the user’s physical state.en_US
dc.description.sponsorshipWe would like to thank Chad Eby for the renditions of the proposed XPod form factor and Nokia for the donation of the 5500 Sport phones.en_US
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/335/XPod-A-Human-Activity-Aware-Learning-Mobile-Music-Playeren_US
dc.format.extent8 pagesen_US
dc.genreconference papers and proceedings preprintsen_US
dc.identifierdoi:10.13016/M29W0935W
dc.identifier.urihttp://hdl.handle.net/11603/12138
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectXPoden_US
dc.subjectHuman Activityen_US
dc.subjectmachine learningen_US
dc.subjectMobile Music Playeren_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleXPod: A Human Activity Aware Learning Mobile Music Playeren_US
dc.typeTexten_US

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