Title
The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices
Abstract
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.
Year
DOI
Venue
2013
10.1016/j.pmcj.2012.06.002
Pervasive and Mobile Computing
Keywords
Field
DocType
good evaluation result,mobile fitness coach,qualitative feedback,criteria-based score,towards individualized skill assessment,personalized automated feedback,mobile device,smartphone system,user study,manual expert assessment,built-in sensor,extended research,activity recognition,ubiquitous computing,human computer interaction,sports,mobile computing,physical exercise,principal component,pervasive computing
Mobile computing,Data logger,Activity recognition,Computer science,Phone,Human–computer interaction,Mobile device,Ubiquitous computing,Multimedia
Journal
Volume
Issue
ISSN
9
2
1574-1192
Citations 
PageRank 
References 
49
2.27
21
Authors
7
Name
Order
Citations
PageRank
Matthias Kranz144237.93
Andreas Möller222218.35
Nils Y. Hammerla357335.03
Stefan Diewald417915.37
Thomas Ploetz5102074.42
Patrick Olivier63049230.82
Luis Roalter720817.19