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Filtering procedures for sensor data in basketball

newdigital Filtering procedures for sensor data in basketball
Article
journal STATISTICA & APPLICAZIONI
issue STATISTICA & APPLICAZIONI - 2017 - 2
title Filtering procedures for sensor data in basketball
author
publisher Vita e Pensiero
format Article | Pdf
online since 10-2018
doi 10.26350/999999_000007
issn 18246672 (print)
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Big Data Analytics help team sports’ managers in their decisions by processing a number of different kind of data. With the advent of Information Technologies, collecting, processing and storing big amounts of sport data in different form became possible. A problem that often arises when using sport data regards the need for automatic data cleaning procedures. In this paper we develop a data cleaning procedure for basketball which is based on players’ trajectories. Starting from a data matrix that tracks the movements of the players on the court at different moments in the game, we propose an algorithm to automatically drop inactive moments making use of available sensor data. The algorithm also divides the game into sorted actions and labels them as offensive or defensive. The algorithm’s parameters are validated using proper robustness checks.

keywords

Sports Statistics, Big Data, Sport Analytics, Human Activity Recognition.

Author biography

rodolfo.metulini@unibs.it