NDLI: Classification of surfaces and inclinations during outdoor running using shoe-mounted inertial sensors

Content Provider	IEEE Xplore Digital Library
Author	Schuldhaus, D. Kugler, P. Jensen, U. Eskofier, B. Schlarb, H. Leible, M.
Copyright Year	2012
Description	Author affiliation: Digital Sports Group, Pattern Recognition Lab, University of Erlangen-Nuremberg, Germany (Schuldhaus, D.; Kugler, P.; Jensen, U.; Eskofier, B.) \|\| Adidas Group/adidas innovation team, Herzogenaurach, Germany (Schlarb, H.) \|\| University of Freiburg, Germany (Leible, M.)
Abstract	Embedded mobile systems for analysis and classification become more and more important in the field of sports and sports science. Small and lightweight sensors in sportswear offer the possibility to monitor the athletes in a realistic environment, e.g. during an outdoor run. During the activity, the sportswear can automatically adapt to the current environment and hence optimizes the performance of the athlete. A major need is a running shoe, which can automatically be adapted to the current ground. In this paper, a classification system was developed, which distinguished between different surfaces and inclinations based on inertial sensors. They were placed on the heel of a running shoe and acquired kinematic data of 21 subjects. For each subject, several rounds of an one hour outdoor run were available and were used for the evaluation of the system. The classification system reached a mean classification rate of more than 80 %.
Starting Page	2258
Ending Page	2261
File Size	681826
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Support vector machines Footwear Kinematics Mobile communication Accelerometers Sensor systems
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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