awesome-computational-intelligence-in-sports
github.com/firefly-cpp/awesome-computational-intelligence-in-sports ↗A collection of literature on the use of computational intelligence methods in sports
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158
Curated Resources
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19 hours ago
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Books 📚Review papers 📃Research papers 🔬Dissertation or thesis 📒Tutorials 📖Perspectives 📰Datasets 📊Benchmarks 🧪Software 💻
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Research papers 🔬
- A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries
- Adaptation of Sport Training Plans by Swarm Intelligence
- Adaptive Athlete Training Plan Generation: An Intelligent Control Systems Approach
- A Decision Tree-Based Smart Fitness Framework in IoT
- A Feature-Weighting Approach Using Metaheuristic Algorithms to Evaluate the Performance of Handball Goalkeepers
- A Minimalistic Toolbox for Extracting Features from Sport Activity Files
Datasets 📊
- A collection of IRONMAN, IRONMAN 70.3 and Ultra-triathlon race resultsTriathlon 🥉
- A collection of sport activity datasets for data analysis and data mining 2016bCycling 🚲
- A collection of sport activity datasets for data analysis and data mining 2017aCycling 🚲
- A collection of sport activity datasets with an emphasis on powermeter dataCycling 🚲
- A collection of sport activity files for data analysis and data miningCycling 🚲
- A collection of sport activity files for data analysis and data mining 2016aCycling 🚲
Review papers 📃
- Advancements in Performance Monitoring: A Systematic Review of Sensor Technologies in Rowing and Canoeing Biomechanics
- AI in Digital Sports Coaching – a Systematic Review
- Application of Internet of Things and Artificial Intelligence for Smart Fitness: A Survey
- Artificial intelligence for team sports: a survey
- Assessing Human Motion During Exercise Using Machine Learning: A Literature Review
- A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training
Books 📚
Perspectives 📰
- Artificial Intelligence and Machine Learning Approaches in Sports: Concepts, Applications, Challenges, and Future Perspectives
- Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-Data Scientists
- Sports Industry 5.0: Reimagining Sport through Technology, Humanity, and Sustainability
Software 💻
- ast-monitor
A wearable Raspberry Pi computer for cyclists.
- ast-tdl
Training Description Language.
- Athlytics
An R framework for longitudinal analysis of exercise physiology metrics using local Strava data exports.
- 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.
Dissertation or thesis 📒
- Automated Generation of Training Programs for Swimmers Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees
- Digital Twin Coaching for Edge Computing Using Deep Learning Based 2D Pose Estimation
- Predicting Cycling Performance Using Machine Learning
- Towards Standardized Digital Twins for Health, Sport, and Well-being
Benchmarks 🧪
- Tcx test files
A collection of the sports activity (tcx) test files for benchmarking the parsers
Showing a sample of 158 resources. View the full list on GitHub →