Smart soccer shoe: monitoring foot-ball interaction with shoe integrated textile pressure sensor matrix

Bo Zhou, Harald Koerger, Markus Wirth, Constantin Zwick, Christine Martindale, Heber Cruz, Bjoern Eskofier, Paul Lukowicz

In: Proceedings of the 2016 ACM International Symposium on Wearable Computers. IEEE International Symposium on Wearable Computers (ISWC-2016) September 12-16 Heidelberg Germany Seiten 64-71 ACM 2016.


In this paper we present a smart soccer shoe that uses textile pressure sensing matrices to detect and analyze the interaction between players’ foot and the ball. We describe the sensor system that consists of two 3 ⇥ 4 and one 3 ⇥ 3 matrices sampled at over 500Hz with low power electronics that allows continuous operation (incl. wireless transmission) for 8 hours using a small 800mA/h Li-Po battery. We show how relevant parameters for shot analysis such as contact speed and contact angles can be reliably derived from the sensor signals. To en- sure reliable ground truth we evaluated the system with a kick robot in the adidas testing facility, which is the standard ap- proach used by adidas to systematically and quantitatively test new shoes and balls. The test encompasses 17 different types of shots and achieves a near 100% classification accuracy/F- score. The system endured extreme levels of impact resulting in over 100km/hr ball speed.

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Smart_soccer_shoe-_monitoring_foot-ball_interaction_with_shoe_integrated_textile_pressure_sensor_matrix.pdf (pdf, 13 MB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence