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A collection of literature on the use of computational intelligence methods in sports

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Awesome Computational Intelligence in Sports Awesome

DOI

Awesome Computational Intelligence in Sports logo


We are curating awesome research and approaches to CI in Sports!

This repository serves as a list of knowledge for researchers working in Computational Intelligence in Sports. The list mainly comprises methods based on evolutionary algorithms, artificial neural networks, fuzzy systems, and swarm intelligence algorithms1. The research citations were done with Mendeley in the MLA 8th edition format. The list includes books, scientific literature, datasets, and software from Computational Intelligence in Sports.

Contents

Books 📚

Review papers 📃

Research papers 🔬

Dissertation or thesis 📒

Tutorials 📖

Perspectives 📰

Datasets 📊

Basketball 🏀

Cycling 🚲

Soccer ⚽️

Track and field 🏃‍

Triathlon 🥉

Wrestling 🤼‍♀️

Benchmarks 🧪

  • Tcx test files - A collection of the sports activity (tcx) test files for benchmarking the parsers

Software 💻

  • ast-monitor - A wearable Raspberry Pi computer for cyclists.
  • ast-tdl - Training Description Language.
  • gpx - Process GPX Files into R Data Structures.
  • gpxpy - A simple Python library for parsing and manipulating GPX files.
  • openant - ANT and ANT-FS Python Library.
  • python-tcxparser - Simple parser for Garmin TCX files.
  • sport-activities-features - A minimalistic toolbox for extracting features from sport activity files written in Python.
  • tcxread - A parser for TCX files.
  • tcxreader - Reader / parser for Garmin's TCX file format.
  • TCXWriter - Library for writing/creating TCX files on Arduino & ESP32 devices
  • tcx2gpx - Python package for converting tcx GPS files to gpx files.
  • TCXReader.jl - Julia package designed for parsing TCX files.

Web applications 🌐


Cite us

Fister Jr., I. (2023). firefly-cpp/awesome-computational-intelligence-in-sports: 1.0 (1.0). Zenodo. https://doi.org/10.5281/zenodo.10431418

Footnotes

  1. Several included research papers are only partially based on these methods but are essential, especially for interdisciplinary research.