{"id":152087,"date":"2006-09-01T00:00:00","date_gmt":"2006-09-01T00:00:00","guid":{"rendered":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/msr-research-item\/mptrain-a-mobile-music-and-physiology-based-personal-trainer\/"},"modified":"2018-10-16T21:53:59","modified_gmt":"2018-10-17T04:53:59","slug":"mptrain-a-mobile-music-and-physiology-based-personal-trainer","status":"publish","type":"msr-research-item","link":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/publication\/mptrain-a-mobile-music-and-physiology-based-personal-trainer\/","title":{"rendered":"MPTrain: a mobile, music and physiology-based personal trainer"},"content":{"rendered":"<div class=\"asset-content\">\n<p>We present MPTrain, a mobile phone based system that takes advantage of the influence of music in exercise performance, enabling users to more easily achieve their exercise goals. MPTrain is designed as a mobile and personal system (hardware and software) that users wear while exercising (walking, jogging or running). MPTrain&#8217;s hardware includes a set of physiological sensors wirelessly connected to a mobile phone carried by the user. MPTrain&#8217;s software allows the user to enter a desired exercise pattern (in terms of desired heart-rate over time) and assists the user in achieving his\/her exercising goals by: (1) constantly monitoring the user&#8217;s physiology (heart-rate in number of beats per minute) and movement (speed in number of steps per minute); and (2) selecting and playing music with specific features that will encourage the user to speed up, slow down or keep the pace to be on track with his\/her exercise goals.We describe the hardware and software components of the MPTrain system, and present some preliminary results when using MPTrain while jogging.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We present MPTrain, a mobile phone based system that takes advantage of the influence of music in exercise performance, enabling users to more easily achieve their exercise goals. MPTrain is designed as a mobile and personal system (hardware and software) that users wear while exercising (walking, jogging or running). MPTrain&#8217;s hardware includes a set of [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"Association for Computing Machinery, Inc.","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"MSR-TR-2006-31","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"Copyright \u00a9 2004 by the Association for Computing Machinery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and\/or a fee. Request permissions from Publications Dept, ACM Inc., fax +1 (212) 869-0481, or permissions@acm.org. The definitive version of this paper can be found at ACM's Digital Library -http:\/\/www.acm.org\/dl\/.","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"Nuria Oliver, Fernando Flores-Mangas","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"Microsoft 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