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

被引：106

作者：

Kranz, Matthias ^{[1
]}

Moeller, Andreas ^{[2
]}

Hammerla, Nils ^{[3
]}

Diewald, Stefan ^{[2
]}

Ploetz, Thomas ^{[3
]}

Olivier, Patrick ^{[3
]}

Roalter, Luis ^{[2
]}

机构：

[1] Lulea Univ Technol, Dept Comp Sci Elect & Space Engn, S-95187 Lulea, Sweden

[2] Tech Univ Munich, Distributed Multimodal Informat Proc Grp, D-80290 Munich, Germany

[3] Newcastle Univ, Culture Lab, Sch Comp Sci, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England

来源：

PERVASIVE AND MOBILE COMPUTING | 2013年 / 9卷 / 02期

关键词：

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

D O I：

10.1016/j.pmcj.2012.06.002

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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. (C) 2012 Elsevier B.V. All rights reserved.

引用

页码：203 / 215

页数：13

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