Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
466272 | Pervasive and Mobile Computing | 2012 | 14 Pages |
Abstract
We are working towards a wearable computing system called SwimMaster, that will support swimmers in achieving their desired exercise goals by monitoring their swimming performance and technique and providing the necessary feedback. In this article, we describe our methods to extract the most relevant swimming performance and technique parameters from acceleration sensors worn at the wrist and at the back. We analyze the data and our methods with a SwimModel. Finally, we present the results of our evaluation studies with 18 swimmers—seven elite, eight recreational and three occasional swimmers.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Marc Bächlin, Gerhard Tröster,