Classification of Surfaces and Inclinations During Outdoor Running Using Shoe-Mounted Inertial Sensors

Schuldhaus D, Kugler P, Leible M, Jensen U, Schlarb H, Eskofier B (2012)


Publication Status: Accepted

Publication Type: Conference contribution, Conference Contribution

Publication year: 2012

Original Authors: Schuldhaus Dominik, Kugler Patrick, Leible Magnus, Jensen Ulf, Schlarb Heiko, Eskofier Björn

Pages Range: 2258-2261

Conference Proceedings Title: Proceedings of 21st International Conference on Pattern Recognition

Event location: Tsukuba JP

Abstract

Embedded mobile systems for analysis and classificationbecome more and more important in the field ofsports and sports science. Small and lightweight sensorsin sportswear offer the possibility to monitor theathletes in a realistic environment, e.g. during an outdoorrun. During the activity, the sportswear can automaticallyadapt to the current environment and henceoptimizes the performance of the athlete. A major needis a running shoe, which can automatically be adaptedto the current ground.In this paper, a classification system was developed,which distinguished between different surfaces and inclinationsbased on inertial sensors. They were placedon the heel of a running shoe and acquired kinematicdata of 21 subjects. For each subject, several roundsof an one hour outdoor run were available and wereused for the evaluation of the system. The classificationsystem reached a mean classification rate of more than80 %.

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APA:

Schuldhaus, D., Kugler, P., Leible, M., Jensen, U., Schlarb, H., & Eskofier, B. (2012). Classification of Surfaces and Inclinations During Outdoor Running Using Shoe-Mounted Inertial Sensors. In Proceedings of 21st International Conference on Pattern Recognition (pp. 2258-2261). Tsukuba, JP.

MLA:

Schuldhaus, Dominik, et al. "Classification of Surfaces and Inclinations During Outdoor Running Using Shoe-Mounted Inertial Sensors." Proceedings of the 21st International Conference on Pattern Recognition, Tsukuba 2012. 2258-2261.

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