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Dr.-Ing. Ulf Jensen

Alumnus of the Pattern Recognition Lab of the Friedrich-Alexander-Universität Erlangen-Nürnberg

The idea is really really simple, but what you get is almost like magic
Generic Features for Biosignal Classification

  • The recent progress in sensor technology enables wearable support and monitoring tools for sports applications. Defining a suitable representation of the measured data is a current challenge in data analysis with pattern recognition methods. We therefore compiled a generic feature set as data representation and proved its applicability in two biosignal analysis applications. Physiological electrocardiogram (ECG) data were used to classify activity levels with a classification rate of 88.8% and kinematic inertial sensor golf putt data were used to classify golf experience levels with a classification rate of 90.2%. The proposed feature set was integrated on a freely available software package that facilitates rapid prototyping of classification systems from a sports expert perspective. 

    Articles in Conference Proceedings
    Jensen, Ulf; Ring, Matthias; Eskofier, Björn
    Generic Features for Biosignal Classification
    Sportinformatik 2012 : 9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft (9. Symposium der Sektion Sportinformatik der Deutschen Vereinigung für Sportwissenschaft), Konstanz, Germany, 12.-14.09.2012, pp. 162-168, 2012 (BiBTeX, Who cited this?)