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The mobile fitness coach: towards individualized skill assessment using personalized mobile devices
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Technische Unviersität München.
Newcastle University.
Technische Unviersität München.
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2013 (English)In: Pervasive and Mobile Computing, ISSN 1574-1192, E-ISSN 1873-1589, Vol. 9, no 2, 203-215 p.Article in journal (Refereed) Published
Abstract [en]

We report on our extended research on GymSkill, a smartphone system for comprehensive physical exercising support, from sensor data logging, activity recognition to on-top skill assessment, using the phone’s built-in sensors. In two iterations, we used principal component breakdown analysis (PCBA) and criteria-based scores for individualized and personalized automated feedback on the phone, with the goal to track training quality and success and give feedback to the user, as well as to engage and motivate regular exercising. Qualitative feedback on the system was collected in a user study, and the system showed good evaluation results in an evaluation against manual expert assessments of video-recorded trainings.

Place, publisher, year, edition, pages
2013. Vol. 9, no 2, 203-215 p.
National Category
Media and Communication Technology
Research subject
Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-12010DOI: 10.1016/j.pmcj.2012.06.002Local ID: b10f82cf-e1dd-440d-8d10-d30a4d3fe810OAI: oai:DiVA.org:ltu-12010DiVA: diva2:984960
Note
Validerad; 2013; 20120625 (ysko)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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