The mobile fitness coach: Towards individualized skill assessment using personalized mobile devices

Matthias Kranz, Andreas Möller, Nils Hammerla, Stefan Diewald, Thomas Plötz, Patrick Olivier, Luis Roalter

    Research output: Contribution to journalArticleResearchpeer-review

    85 Citations (Scopus)


    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.

    Original languageEnglish
    Pages (from-to)203-215
    Number of pages13
    JournalPervasive and Mobile Computing
    Issue number2
    Publication statusPublished - 1 Jan 2013


    • Activity recognition
    • Human-computer interaction
    • Mobile computing
    • Mobile HCI
    • Pervasive computing
    • Physical exercising
    • Skill assessment
    • Sports
    • Ubiquitous computing

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