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Sensor-Integrated Soccer Ball For Spatiotemporal Performance Analysis Of Soccer Players

by Tyler Cross
​Category: STEM
Abstract – Previously, an Open Source, post-match analysis software that recreates player and soccer ball movements as two dimensional trajectories as seen from a bird’s eye view was created. Each player was outfitted with a Global Positioning System (GPS) device that collected high frequency data from geo-stationary satellites at a constant interval of less than one second. The collected player and soccer ball position data was visualized using animation-type plots developed using Qt Creator. For each player, the following metrics were determined: total distance covered, instantaneous velocity, possession percentage, and total touches. Inspection of such metrics gave an insight into the general performance of each player and team as a whole. In this work, a sensor-integrated soccer ball is in the process of being developed, which will allow for further accurate measurements of the aforementioned metrics. A further preposition into the design, construction, and testing of this ball is included in this paper.
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