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Título
Data-Driven Visual Performance Analysis in Soccer: An Exploratory Prototype
Autor(es)
Materia
Collective tactical behavior
Football association
Visual analytic
Performance analysis
Information visualization
Clasificación UNESCO
1203 Ciencia de los ordenadores
Fecha de publicación
2018
Editor
Frontiers in Psychology
Citación
Benito Santos, A., Theron, R., Losada, A., Sampaio, J. E., & Lago-Peñas, C. (2018). Data-driven visual performance analysis in soccer: An exploratory prototype. Frontiers in Psychology, 9. https://doi.org/10.3389/fpsyg.2018.02416
Resumen
[EN]In soccer, understanding of collective tactical behavior has become an integral part in sports analysis at elite levels. Evolution of technology allows collection of increasingly larger and more specific data sets related to sport activities in cost-effective and
accessible manner. All this information is minutely scrutinized by thousands of analysts around the globe in search of answers that can in the long-term help increase the performance of individuals or teams in their respective competitions. As the volume
of data increases in size, so does the complexity of the problem and the need for suitable tools that leverage the cognitive load involved in the investigation. It is proven that visualization and computer-vision techniques, correctly applied to the context of
a problem, help data analysts focus on the relevant information at each stage of the process, and generally lead to a better understanding of the facts that lie behind the data. In the current study, we presented a software prototype capable of assisting
researchers and performance analysts in their duty of studying group collective behavior in soccer games and trainings. We used geospatial data acquired from a professional match to demonstrate its capabilities in two different case studies.
URI
DOI
10.3389/fpsyg.2018.02416
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