https://github.com/firefly-cpp/awesome-computational-intelligence-in-sports

A collection of literature on the use of computational intelligence methods in sports
https://github.com/firefly-cpp/awesome-computational-intelligence-in-sports

List: awesome-computational-intelligence-in-sports

artificial-intelligence awesome awesome-list computational-intelligence sport-analytics sport-application sport-science sports

Last synced: about 1 month ago
JSON representation

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

• Host: GitHub
• URL: https://github.com/firefly-cpp/awesome-computational-intelligence-in-sports
• Owner: firefly-cpp
• License: cc-by-sa-4.0
• Created: 2021-11-12T11:34:30.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-03T20:28:31.000Z (8 months ago)
• Last Synced: 2024-05-22T23:01:17.834Z (7 months ago)
• Topics: artificial-intelligence, awesome, awesome-list, computational-intelligence, sport-analytics, sport-application, sport-science, sports
• Homepage:
• Size: 687 KB
• Stars: 11
• Watchers: 3
• Forks: 4
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • Contributing: contributing.md
  • License: LICENSE
  • Citation: CITATION.cff

Awesome Lists containing this project

• ultimate-awesome - awesome-computational-intelligence-in-sports - A collection of literature on the use of computational intelligence methods in sports. (Other Lists / Monkey C Lists)

README

        
# Awesome Computational Intelligence in Sports [![Awesome](https://awesome.re/badge.svg)](https://awesome.re)

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.10431418.svg)](https://doi.org/10.5281/zenodo.10431418)







---

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 algorithms[^1]. 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.

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

## Contents

-   [Books 📚](#books-)

-   [Review papers 📃](#review-papers-)

-   [Research papers 🔬](#research-papers-)

-   [Dissertation or thesis 📒](#dissertation-or-thesis-)

-   [Tutorials 📖](#tutorials-)

-   [Perspectives 📰](#perspectives-)

-   [Datasets 📊](#datasets-)

    -   [Basketball 🏀](#basketball-)

    -   [Cycling 🚲](#cycling-)

    -   [Soccer ⚽](#soccer-%EF%B8%8F)

    -   [Track and field 🏃‍](#track-and-field-)

    -   [Triathlon 🥉](#triathlon-)

    -   [Wrestling 🤼‍♀️](#wrestling-%EF%B8%8F)

-   [Benchmarks 🧪](#benchmarks-)

-   [Software 💻](#software-)

-   [Web applications 🌐](#web-applications-)

## Books 📚

-   Begg, Rezaul, and Marimuthu Palaniswami. “[Computational Intelligence for Movement Sciences](https://www.igi-global.com/book/computational-intelligence-movement-sciences/178).” Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques, edited by Rezaul Begg and Marimuthu Palaniswami, IGI Global, 2006, doi:[10.4018/978-1-59140-836-9](https://doi.org/10.4018/978-1-59140-836-9).

-   Fister, Iztok, et al. “[Computational intelligence in sports](https://link.springer.com/book/10.1007%2F978-3-030-03490-0).” Edited by Yew Lim, Meng-Hiot Soon Ong, vol. 22, Springer International Publishing, 2019, doi:[10.1007/978-3-030-03490-0](https://doi.org/10.1007/978-3-030-03490-0).

## Review papers 📃

-   Beal, Ryan, et al. “[Artificial intelligence for team sports: a survey](https://www.cambridge.org/core/journals/knowledge-engineering-review/article/abs/artificial-intelligence-for-team-sports-a-survey/2E0E32861D031C022603F670B23B55B3).” The Knowledge Engineering Review, vol. 34, Cambridge University Press, 2019, doi:[10.1017/S0269888919000225](https://doi.org/10.1017/S0269888919000225).

-   Bonidia, Robson P., et al. “[Data Mining in Sports: A Systematic Review](https://ieeexplore.ieee.org/abstract/document/8291478/).” IEEE Latin America Transactions, vol. 16, no. 1, IEEE Computer Society, Jan. 2018, pp. 232–39, doi:[10.1109/TLA.2018.8291478](https://doi.org/10.1109/TLA.2018.8291478).

-   Bonidia, Robson P., et al. “[Computational Intelligence in Sports: A Systematic Literature Review](https://www.hindawi.com/journals/ahci/2018/3426178/).” Advances in Human-Computer Interaction, vol. 2018, Hindawi Limited, Oct. 2018, pp. 1–13, doi:[10.1155/2018/3426178](https://doi.org/10.1155/2018/3426178).

-   Bunker, Rory, and Teo Susnjak. “[The Application of Machine Learning Techniques for Predicting Match Results in Team Sport: A Review](https://www.jair.org/index.php/jair/article/view/13509).” Journal of Artificial Intelligence Research, vol. 73, AI Access Foundation, Apr. 2022, pp. 1285–322, doi:[10.1613/JAIR.1.13509](https://doi.org/10.1613/JAIR.1.13509).

-   Cardenas Hernandez, Fernando Pedro, et al. “[Beyond Hard Workout: A Multimodal Framework for Personalised Running Training with Immersive Technologies](https://bera-journals.onlinelibrary.wiley.com/doi/epdf/10.1111/bjet.13445).” British Journal of Educational Technology, doi:[10.1111/bjet.13445](https://doi.org/10.1111/bjet.13445).

-   Farrokhi, Alireza, et al. “[Application of Internet of Things and Artificial Intelligence for Smart Fitness: A Survey](https://www.sciencedirect.com/science/article/abs/pii/S1389128621000360).” Computer Networks, vol. 189, Elsevier, Apr. 2021, p. 107859, doi:[10.1016/j.comnet.2021.107859](https://doi.org/10.1016/j.comnet.2021.107859).

-   Fister Jr, Iztok, et al. “[Computational Intelligence in Sports: Challenges and Opportunities within a New Research Domain](https://www.sciencedirect.com/science/article/abs/pii/S0096300315004300).” Applied Mathematics and Computation, vol. 262, Elsevier, July 2015, pp. 178–86, doi:[10.1016/j.amc.2015.04.004](https://doi.org/10.1016/j.amc.2015.04.004).

-   Frangoudes, Fotos, et al. “[Assessing Human Motion During Exercise Using Machine Learning: A Literature Review](https://ieeexplore.ieee.org/abstract/document/9857881).” IEEE Access, vol. 10, 2022, pp. 86874–903, doi:[10.1109/ACCESS.2022.3198935](https://doi.org/10.1109/ACCESS.2022.3198935).

-   Gámez Díaz, R.; Yu, Q.; Ding, Y.; Laamarti, F.; El Saddik, A. “[Digital Twin Coaching for Physical Activities: A Survey](https://www.mdpi.com/1424-8220/20/20/5936).“ Sensors 2020, 20, 5936, doi:[10.3390/s20205936](https://doi.org/10.3390/s20205936).

-   H. Pascual, X. M. Bruin, A. Alonso, J. Cerd`a, “[A systematic review on human modeling: Digging into human digital twin implementations](https://arxiv.org/abs/2302.03593).“, arXiv preprint, doi:[arXiv:2302.03593](https://doi.org/10.48550/arXiv.2302.03593).

-   Krstić, Dušan, et al. “[The Application and Impact of Artificial Intelligence on Sports Performance Improvement: A Systematic Literature Review](https://ieeexplore.ieee.org/abstract/document/10378750).” 2023 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES), IEEE, 2023, pp. 1–8, doi:[10.1109/CIEES58940.2023.10378750](https://doi.org/10.1109/CIEES58940.2023.10378750).

-   Lai, Daniel T. H., et al. “[Computational Intelligence in Gait Research: A Perspective on Current Applications and Future Challenges](https://ieeexplore.ieee.org/abstract/document/4915787).” IEEE Transactions on Information Technology in Biomedicine, vol. 13, no. 5, 2009, pp. 687–702, doi:[10.1109/TITB.2009.2022913](https://doi.org/10.1109/TITB.2009.2022913).

-   Lygouras, Dimosthenis, and Avgoustos Tsinakos. “[The Use of Immersive Technologies in Karate Training: A Scoping Review](https://www.mdpi.com/2414-4088/8/4/27).” Multimodal Technologies and Interaction, vol. 8, no. 4, 2024, [doi:10.3390/mti8040027](https://doi.org/10.3390/mti8040027). 

-   Milasi, Sadegh Fatahi, et al. “[Unlocking the Potential: A Comprehensive Meta-Synthesis of Internet of Things in the Sports Industry](https://journals.sagepub.com/doi/10.1177/17543371241229521).” Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, vol., no., p. 17543371241229520, doi:[10.1177/17543371241229521](https://doi.org/10.1177/17543371241229521).

-   Nalbant, Kemal Gökhan, and Sevgi Aydın. “[Literature Review on the Relationship between Artificial Intelligence Technologies with Digital Sports Marketing and Sports Management](https://ejournal.unma.ac.id/index.php/ijsm/article/view/2876).” Indonesian Journal of Sport Management, vol. 2, no. 2, Oct. 2022, pp. 135–43, doi:[10.31949/ijsm.v2i2.2876](https://doi.org/10.31949/ijsm.v2i2.2876).

-   Rajšp, Alen, and Iztok Jr. Fister. “[A Systematic Literature Review of Intelligent Data Analysis Methods for Smart Sport Training](https://www.mdpi.com/2076-3417/10/9/3013).” Applied Sciences, vol. 10, no. 9, Multidisciplinary Digital Publishing Institute, Apr. 2020, p. 3013, doi:[10.3390/app10093013](https://doi.org/10.3390/app10093013).

-   Song, Yu (Wolf). “[Human Digital Twin, the Development and Impact on Design](https://asmedigitalcollection.asme.org/computingengineering/article/23/6/060819/1166203/Human-Digital-Twin-the-Development-and-Impact-on).” Journal of Computing and Information Science in Engineering, vol. 23, no. 6, Dec. 2023, doi:[10.1115/1.4063132](https://doi.org/10.1115/1.4063132).

-   Stessens, Loes, et al. “[Physical Performance Estimation in Practice: A Systematic Review of Advancements in Performance Prediction and Modeling in Cycling](https://journals.sagepub.com/doi/10.1177/17479541241262385).” International Journal of Sports Science & Coaching, vol., no., p. 17479541241262384, doi:[10.1177/17479541241262385](https://doi.org/10.1177/17479541241262385). 

-   Szot, Tomasz. “[Evolution of Sport Wearable Global Navigation Satellite Systems’ Receivers: A Look at the Garmin Forerunner Series](https://journals.sagepub.com/doi/10.1177/17543371241237319).” Proceedings of the Institution of Mechanical Engineers, Part P: Journal of Sports Engineering and Technology, doi:[10.1177/17543371241237319](https://doi.org/10.1177/17543371241237319).

-   Wakelam, Edward, et al. “[The Collection, Analysis and Exploitation of Footballer Attributes: A Systematic Review](https://content.iospress.com/articles/journal-of-sports-analytics/jsa200554).” Journal of Sports Analytics, vol. 8, no. 1, IOS Press, Jan. 2022, pp. 31–67, doi:[10.3233/JSA-200554](https://doi.org/10.3233/JSA-200554).

-   Yang, Luyao, et al. “[Intelligent Wearable Systems: Opportunities and Challenges in Health and Sports](https://dl.acm.org/doi/pdf/10.1145/3648469).” ACM Comput. Surv., vol. 56, no. 7, Association for Computing Machinery, Apr. 2024, [doi:10.1145/3648469](https://doi.org/10.1145/3648469). 

## Research papers 🔬

-   Adeyemo, Victor Elijah, et al. “[Identification of Pattern Mining Algorithm for Rugby League Players Positional Groups Separation Based on Movement Patterns](http://arxiv.org/abs/2302.14058).” ArXiv, Feb. 2023, p. 2023, http://arxiv.org/abs/2302.14058.

-   Ariyaratne, M. K. A., and R. M. Silva. “[Meta-Heuristics Meet Sports: A Systematic Review from the Viewpoint of Nature Inspired Algorithms](https://sciendo.com/article/10.2478/ijcss-2022-0003).” International Journal of Computer Science in Sport, vol. 21, no. 1, Mar. 2022, pp. 49–92, doi:[10.2478/ijcss-2022-0003](https://doi.org/10.2478/ijcss-2022-0003).

-   Attigala, D. A., et al. “[Intelligent Trainer for Athletes Using Machine Learning](https://ieeexplore.ieee.org/abstract/document/8940477).” 2019 International Conference on Computing, Power and Communication Technologies (GUCON), 2019, pp. 898–903.

-   Barshan, Billur, and M. C. Yuksek. “[Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units](https://ieeexplore.ieee.org/abstract/document/8130901).” The Computer Journal, vol. 57, no. 11, Oxford University Press, Nov. 2014, pp. 1649–67, doi:[10.1093/comjnl/bxt075](https://doi.org/10.1093/comjnl/bxt075).

-   Boillet, Alice, Laurent A. Messonnier, and Caroline Cohen. "[Individualized physiology-based digital twin model for sports performance prediction: a reinterpretation of the Margaria–Morton model](https://www.nature.com/articles/s41598-024-56042-0#Sec2)." Scientific Reports 14, no. 1 (2024): 5470, doi:[10.1038/s41598-024-56042-0](https://doi.org/10.1038/s41598-024-56042-0).

-   Carey, David L., et al. “[Optimizing Preseason Training Loads in Australian Football](https://journals.humankinetics.com/view/journals/ijspp/13/2/article-p194.xml).” International Journal of Sports Physiology and Performance, vol. 13, no. 2, Human Kinetics, Feb. 2018, pp. 194–99, doi:[10.1123/ijspp.2016-0695](https://doi.org/10.1123/ijspp.2016-0695).

-   Chacoma, Andrés, and Orlando V Billoni. “[Simple Mechanism Rules the Dynamics of Volleyball](http://arxiv.org/abs/2202.13765).” ArXiv, Feb. 2022, http://arxiv.org/abs/2202.13765.

-   Chen, Shuxi, et al. “[Detecting Sports Fatigue from Speech by Support Vector Machine](https://ieeexplore.ieee.org/abstract/document/7586626).” 2016 8th IEEE International Conference on Communication Software and Networks (ICCSN), IEEE, 2016, pp. 96–99, doi:[10.1109/ICCSN.2016.7586626](https://doi.org/10.1109/ICCSN.2016.7586626).

-   Cintia, Paolo, and Luca Pappalardo. “[Coach2vec: Autoencoding the Playing Style of Soccer Coaches](https://arxiv.org/abs/2106.15444)“. Arxiv, June 2021, doi:[10.48550/arxiv.2106.15444](https://doi.org/10.48550/arxiv.2106.15444). Preprint.

-   Connor, Mark, et al. “[Optimising Team Sport Training Plans with Grammatical Evolution](https://ieeexplore.ieee.org/abstract/document/8790369).” 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., June 2019, pp. 2474–81, doi:[10.1109/CEC.2019.8790369](https://doi.org/10.1109/CEC.2019.8790369).

-   Connor, Mark, et al. “[Adaptive Athlete Training Plan Generation: An Intelligent Control Systems Approach](https://www.sciencedirect.com/science/article/pii/S1440244021004679).” Journal of Science and Medicine in Sport, vol. 25, no. 4, Elsevier, Apr. 2022, pp. 351–55, doi:[10.1016/j.jsams.2021.10.011](https://doi.org/10.1016/j.jsams.2021.10.011).

-   De Prisco, Roberto, et al. “[Providing Music Service in Ambient Intelligence: experiments with gym users](https://www.sciencedirect.com/science/article/abs/pii/S0957417421003924).” Expert Systems with Applications, vol. 177, Pergamon, Sept. 2021, p. 114951, doi:[10.1016/j.eswa.2021.114951](https://doi.org/10.1016/j.eswa.2021.114951).

-   Deng, Huijian, et al. “[Prediction of Sports Aggression Behavior and Analysis of Sports Intervention Based on Swarm Intelligence Model](https://www.hindawi.com/journals/sp/2022/2479939/).” Scientific Programming, vol. 2022, Hindawi Limited, 2022, doi:[10.1155/2022/2479939](https://doi.org/10.1155/2022/2479939).

-   Díaz, Rogelio Gámez, Fedwa Laamarti, and Abdulmotaleb El Saddik. "[DTCoach: your digital twin coach on the edge during COVID-19 and beyond](https://ieeexplore.ieee.org/abstract/document/9513635)." IEEE Instrumentation & Measurement Magazine 24, no. 6 (2021): 22-28, doi:[10.1109/MIM.2021.9513635](https://doi.org/10.1109/MIM.2021.9513635).

-   Ding, Xianqiong, et al. “[Sports Training Model Based on GA Optimized Neural Network](https://ieeexplore.ieee.org/abstract/document/9526701).” Proceedings - 2020 13th International Conference on Intelligent Computation Technology and Automation, ICICTA 2020, Institute of Electrical and Electronics Engineers Inc., Oct. 2020, pp. 227–30, doi:[10.1109/ICICTA51737.2020.00055](https://doi.org/10.1109/ICICTA51737.2020.00055).

-   Eriksson, Rikard, et al. “[Generating Weekly Training Plans in the Style of a Professional Swimming Coach Using Genetic Algorithms and Random Trees](https://link.springer.com/chapter/10.1007/978-3-030-99333-7_9).” Proceedings of the 9th International Performance Analysis Workshop and Conference & 5th IACSS Conference, edited by Arnold Baca et al., Springer, Cham, 2022, pp. 61–68, doi:[10.1007/978-3-030-99333-7_9](https://doi.org/10.1007/978-3-030-99333-7_9).

-   Farrokhi, Alireza, et al. “[A Decision Tree-Based Smart Fitness Framework in IoT](https://link.springer.com/article/10.1007/s42979-021-00940-x).” SN Computer Science, vol. 3, no. 1, Springer, Jan. 2022, p. 2, doi:[10.1007/s42979-021-00940-x](https://doi.org/10.1007/s42979-021-00940-x).

-   Feely, Ciara, et al. “[A Case-Based Reasoning Approach to Predicting and Explaining Running Related Injuries](<(https://link.springer.com/chapter/10.1007/978-3-030-86957-1_6)>).” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12877 LNAI, Springer, Cham, 2021, pp. 79–93, doi:[10.1007/978-3-030-86957-1_6](https://doi.org/10.1007/978-3-030-86957-1_6).

-   Feely, Ciara, et al. “[Modelling the Training Practices of Recreational Marathon Runners to Make Personalised Training Recommendations](https://dl.acm.org/doi/pdf/10.1145/3565472.3592952).” Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization, ACM, 2023, pp. 183–93, doi:[10.1145/3565472.3592952](https://doi.org/10.1145/3565472.3592952).

-   Ferencsik, Dorina K., and Erika B. Varga. “[Cycling Activity Dataset Creation and Application for Feedback Giving](https://sciendo.com/article/10.2478/amset-2021-0015).” Acta Marisiensis. Seria Technologica, vol. 18, no. 2, Walter de Gruyter GmbH, Dec. 2021, pp. 29–35, doi:[10.2478/AMSET-2021-0015](https://doi.org/10.2478/amset-2021-0015).

-   Fialho, Gabriel, et al. “[Predicting Sports Results with Artificial Intelligence – A Proposal Framework for Soccer Games](https://www.sciencedirect.com/science/article/pii/S1877050919322033).” Procedia Computer Science, vol. 164, Elsevier, Jan. 2019, pp. 131–36, doi:[10.1016/j.procs.2019.12.164](https://doi.org/10.1016/j.procs.2019.12.164).

-   Fidelis, J. Vijay, and E. Karthikeyan. “[Player Management in Soccer Using Particle Swarm Optimization](https://ieeexplore.ieee.org/abstract/document/9114599).” 4th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques, ICEECCOT 2019, Institute of Electrical and Electronics Engineers Inc., Dec. 2019, pp. 303–08, doi:[10.1109/ICEECCOT46775.2019.9114599](https://doi.org/10.1109/ICEECCOT46775.2019.9114599).

-   Fister, Dušan, et al. “[Visualization of cycling training](http://www.iztok-jr-fister.eu/static/publications/160.pdf).” Proceedings of the StuCoSReC: 3rd Student Computer Science Research Conference, Koper, Slovenia. 2016.

-   Fister, Iztok, et al. “[Framework for Planning the Training Sessions in Triathlon](https://dl.acm.org/doi/abs/10.1145/3205651.3208242).” Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, 2018, pp. 1829–34, doi:[10.1145/3205651.3208242](https://doi.org/10.1145/3205651.3208242).

-   Fister, Iztok, et al. “[Planning the Sports Training Sessions with the Bat Algorithm](https://www.sciencedirect.com/science/article/abs/pii/S0925231214009710).” Neurocomputing, vol. 149, no. PB, Elsevier, Feb. 2015, pp. 993–1002, doi:[10.1016/J.NEUCOM.2014.07.034](https://doi.org/10.1016/j.neucom.2014.07.034).

-   Fister, Iztok, et al. “[Synthetic Data Augmentation of Cycling Sport Training Datasets](https://link.springer.com/chapter/10.1007/978-3-030-93247-3_7).” Lecture Notes in Networks and Systems, vol. 371, Springer Science and Business Media Deutschland GmbH, 2022, pp. 65–74, doi:[10.1007/978-3-030-93247-3_7](https://doi.org/10.1007/978-3-030-93247-3_7).

-   Fister Jr., Iztok. “[The Relevance of Nature-Inspired Metaheuristic Algorithms in Smart Sport Training](https://link.springer.com/chapter/10.1007/978-3-030-80216-5_1).” International Conference on Emerging Applications and Technologies for Industry 4.0 (EATI'2020), edited by Jemal H Abawajy et al., Springer International Publishing, 2021, pp. 1–8, doi:[10.1007/978-3-030-80216-5_1](https://doi.org/10.1007/978-3-030-80216-5_1).

-   Fister Jr., Iztok., et al. “[Adaptation of Sport Training Plans by Swarm Intelligence](https://link.springer.com/chapter/10.1007/978-3-319-97888-8_5).” Recent Advances in Soft Computing, edited by Radek Matoušek, Springer International Publishing, 2019, pp. 56–67, doi:[10.1007/978-3-319-97888-8_5](https://doi.org/10.1007/978-3-319-97888-8_5).

-   Fister Jr, Iztok, et al. “[New Perspectives in the Development of the Artificial Sport Trainer](https://www.mdpi.com/2076-3417/11/23/11452/htm).” Applied Sciences, vol. 11, no. 23, Multidisciplinary Digital Publishing Institute, Dec. 2021, p. 11452, doi:[10.3390/app112311452](https://doi.org/10.3390/app112311452).

-   Fister Jr, Iztok , et al. “[SportyDataGen: An Online Generator of Endurance Sports Activity Collections](http://www.iztok-jr-fister.eu/static/publications/225.pdf).” Proceedings of the Central European Conference on Information and Intelligent Systems, Faculty of Organization and Informatics, University of Zagreb, 2018, pp. 171–78.

-   Fister Jr, Iztok, et al. “[The Importance of Monitoring and Maintaining Data in Sports Training Process](https://www.iztok-jr-fister.eu/static/publications/191.pdf).” Proceedings of the 8th Conference for Youth Sport, 2016.

-   Fister Jr, Iztok, et al. “[Topology-Based Generation of Sport Training Sessions](https://link.springer.com/article/10.1007/s12652-020-02048-1).” Journal of Ambient Intelligence and Humanized Computing, vol. 12, no. 1, Springer Science and Business Media Deutschland GmbH, Jan. 2021, pp. 667–78, doi:[10.1007/s12652-020-02048-1](https://doi.org/10.1007/s12652-020-02048-1).

-   Fister Jr, Iztok, et al. “[On Deploying the Artificial Sport Trainer into Practice](10.1109/ISCMI53840.2021.9654817).” 2021 8th International Conference on Soft Computing and Machine Intelligence, ISCMI 2021, Institute of Electrical and Electronics Engineers Inc., Sept. 2021, pp. 21–26, doi:[ISCMI53840.2021.9654817](https://doi.org/ISCMI53840.2021.9654817).

-   Fister Jr, Iztok, and Iztok Fister. “[Generating the Training Plans Based on Existing Sports Activities Using Swarm Intelligence](https://link.springer.com/chapter/10.1007/978-3-319-50920-4_4).” Modeling and Optimization in Science and Technologies, vol. 10, Springer, Cham, 2017, pp. 79–94, doi:[10.1007/978-3-319-50920-4_4](https://doi.org/10.1007/978-3-319-50920-4_4).

-   Fister Jr, Iztok, et al. “[Population-Based Metaheuristics for Planning Interval Training Sessions in Mountain Biking](https://link.springer.com/chapter/10.1007/978-3-030-26369-0_7).” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11655 LNCS, Springer, Cham, 2019, pp. 70–79, doi:[10.1007/978-3-030-26369-0_7](https://doi.org/10.1007/978-3-030-26369-0_7).

-   Fister Jr, Iztok, et al. “[Discovering Dependencies among Mined Association Rules with Population-Based Metaheuristics](https://dl.acm.org/doi/abs/10.1145/3319619.3326833).” Proceedings of the Genetic and Evolutionary Computation Conference Companion, ACM, 2019, pp. 1668–74, doi:[10.1145/3319619.3326833](https://doi.org/10.1145/3319619.3326833).

-   Frevel, Nicolas, et al. “[The Impact of Technology on Sports – A Prospective Study](https://www.sciencedirect.com/science/article/abs/pii/S0040162522003626?via%3Dihub).” Technological Forecasting and Social Change, vol. 182, Sept. 2022, p. 121838. ScienceDirect, doi:[10.1016/j.techfore.2022.121838](https://doi.org/10.1016/j.techfore.2022.121838).

-   Hrovat, Goran, et al. “[Interestingness Measure for Mining Sequential Patterns in Sports](https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs1676).” Journal of Intelligent \& Fuzzy Systems, vol. 29, no. 5, Jan. 2015, pp. 1981–94, doi:[10.3233/IFS-151676](https://doi.org/10.3233/IFS-151676).

-   He, Liqin, et al. “[Decision Support System for Effective Action Recognition of Track and Field Sports Using Ant Colony Optimization](https://link.springer.com/article/10.1007/s00500-023-07967-7).” Soft Computing, Mar. 2023, pp. 1–11, doi:[10.1007/s00500-023-07967-7](https://doi.org/10.1007/s00500-023-07967-7).

-   Kipp, Kristof, et al. “[Use of Machine Learning to Model Volume Load Effects on Changes in Jump Performance](https://journals.humankinetics.com/view/journals/ijspp/15/2/article-p285.xml?utm_source=TrendMD&utm_medium=cpc&utm_campaign=International_Journal_of_Sports_Physiology_and_Performance_TrendMD_1).” International Journal of Sports Physiology and Performance, vol. 15, no. 2, Human Kinetics, Feb. 2020, pp. 285–87, doi:[10.1123/IJSPP.2019-0009](https://doi.org/10.1123/IJSPP.2019-0009).

-   Kumyaito, Nattapon, et al. “[Planning a Sports Training Program Using Adaptive Particle Swarm Optimization with Emphasis on Physiological Constraints](10.1186/s13104-017-3120-9).” BMC Research Notes, vol. 11, no. 1, Dec. 2018, p. 9, doi:[10.1186/s13104-017-3120-9](https://doi.org/10.1186/s13104-017-3120-9).

-   Joshi, Ketan, et al. “[Robust Sports Image Classification Using InceptionV3 and Neural Networks](https://www.sciencedirect.com/science/article/pii/S1877050920307560).” Procedia Computer Science, vol. 167, Elsevier, Jan. 2020, pp. 2374–81, doi:[10.1016/j.procs.2020.03.290](https://doi.org/10.1016/j.procs.2020.03.290).

-   Langaroudi, Milad Keshtkar, and Mohammad Reza Yamaghani. “[Sports Result Prediction Based on Machine Learning and Computational Intelligence Approaches: A Survey](https://jacet.srbiau.ac.ir/article_13599.html).” Journal of Advances in Computer Engineering and Technology, vol. 5, no. 1, 2019, pp. 27–36.

-   Lee, Geon Ju, et al. “[Exploiting Weighted Association Rule Mining for Indicating Synergic Formation Tactics in Soccer Teams](https://onlinelibrary.wiley.com/doi/10.1002/cpe.6221).” Concurrency and Computation: Practice and Experience, 2021, p. e6221, doi:[10.1002/CPE.6221](https://doi.org/10.1002/CPE.6221).

-   Li, Gang, and Tongzhou Zhao. “[Approach of Intelligence Question-Answering System Based on Physical Fitness Knowledge Graph](https://ieeexplore.ieee.org/abstract/document/9638824).” 2021 4th International Conference on Robotics, Control and Automation Engineering (RCAE), IEEE, 2021, pp. 191–95, doi:[10.1109/RCAE53607.2021.9638824](https://doi.org/10.1109/RCAE53607.2021.9638824).

-   Liu, Yu, et al. “[Design and Implementation of Concurrent Optimization Schemes for Sports Health Prediction Platform](https://www.computer.org/csdl/proceedings-article/icdh/2018/949700a208/17D45WrVgdj).” 2018 7th International Conference on Digital Home (ICDH), IEEE, 2018, pp. 208–12, doi:[10.1109/ICDH.2018.00044](https://doi.org/10.1109/ICDH.2018.00044).

-   Lopez-Gomez, Julio Alberto, et al. “[A Feature-Weighting Approach Using Metaheuristic Algorithms to Evaluate the Performance of Handball Goalkeepers](https://ieeexplore.ieee.org/abstract/document/9726167/).” IEEE Access, 2022, pp. 1–1, doi:[10.1109/ACCESS.2022.3156120](https://doi.org/10.1109/ACCESS.2022.3156120).

-   López-Serrano, Carlos, et al. “[Contextualizing Evaluation of Performance in Volleyball: Introducing Contextual Individual Contribution Coefficients to Assess Technical Actions](https://pubmed.ncbi.nlm.nih.gov/37927053/).” Perceptual and Motor Skills, vol. 130, no. 6, Dec. 2023, pp. 2663–84, doi:[10.1177/00315125231212592](https://doi.org/10.1177/00315125231212592).

-   Lukac, Luka, et al. “[A Minimalistic Toolbox for Extracting Features from Sport Activity Files](https://ieeexplore.ieee.org/abstract/document/9512927).” 2021 IEEE 25th International Conference on Intelligent Engineering Systems (INES), IEEE, 2021, pp. 000121–26, doi:[10.1109/INES52918.2021.9512927](https://doi.org/10.1109/INES52918.2021.9512927).

-   Lukač, Luka, et al. “[Digital Twin in Sport: From an Idea to Realization](https://www.mdpi.com/2076-3417/12/24/12741).” Applied Sciences, vol. 12, no. 24, Dec. 2022, p. 12741, doi:[10.3390/app122412741](https://doi.org/10.3390/app122412741).

-   Masagca, Ramon Carlo. “[The AI Coach: A 5-Week AI-Generated Calisthenics Training Program on Health-Related Physical Fitness Components of Untrained Collegiate Students](https://www.jhse.es/index.php/jhse/article/view/ai-generated-calisthenics-training-program).” Journal of Human Sport and Exercise , vol. 20, no. 1, 2024, pp. 39–56, doi:[10.55860/13v7e679](doi:10.55860/13v7e679).

-   Matabuena, Marcos, and Rosana Rodríguez-López. “[An Improved Version of the Classical Banister Model to Predict Changes in Physical Condition](https://link.springer.com/article/10.1007/s11538-019-00588-y).” Bulletin of Mathematical Biology, vol. 81, no. 6, Springer New York LLC, June 2019, pp. 1867–84, doi:[10.1007/S11538-019-00588-Y](https://doi.org/10.1007/s11538-019-00588-y).

-   Moutaouakil, Karim El, et al. “[Quadratic Programming and Triangular Numbers Ranking to an Optimal Moroccan Diet with Minimal Glycemic Load](http://iapress.org/index.php/soic/article/view/1541).” Statistics, Optimization & Information Computing, vol. 11, no. 1, 1, Jan. 2023, pp. 85–94. iapress.org, doi:[10.19139/soic-2310-5070-1541](https://doi.org/10.19139/soic-2310-5070-1541).

-   Mutijarsa, Kusprasapta, et al. “[Heart Rate Prediction Based on Cycling Cadence Using Feedforward Neural Network](https://ieeexplore.ieee.org/abstract/document/7863026).” 2016 International Conference on Computer, Control, Informatics and Its Applications (IC3INA), IEEE, 2016, pp. 72–76, doi:[10.1109/IC3INA.2016.7863026](https://doi.org/10.1109/IC3INA.2016.7863026).

-   Nikitina, Marina A. “[Development of a Personalized Diet Using Structural Optimization](https://link.springer.com/chapter/10.1007/978-3-031-35875-3_4).” Society 5.0: Cyber-Solutions for Human-Centric Technologies, edited by Alla G. Kravets et al., Springer Nature Switzerland, 2023, pp. 43–52. doi:[https://doi.org/10.1007/978-3-031-35875-3_4](https://doi.org/https://doi.org/10.1007/978-3-031-35875-3_4).

-   Novatchkov, Hristo, and Arnold Baca. “[Artificial Intelligence in Sports on the Example of Weight Training](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3761781/).” Journal of Sports Science & Medicine, vol. 12, no. 1, Dept. of Sports Medicine, Medical Faculty of Uludag University, Mar. 2013, pp. 27–37, pmid:[24149722](http://www.ncbi.nlm.nih.gov/pubmed/24149722).

-   Novatchkov, Hristo, and Arnold Baca. “[Fuzzy Logic in Sports: A Review and an Illustrative Case Study in the Field of Strength Training](https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.403.2519&rep=rep1&type=pdf).” International Journal of Computer Applications, vol. 71, no. 6, 2013, pp. 8–14.

-   Ofoghi, Bahadorreza, et al. “[Modelling and Analysing Track Cycling Omnium Performances Using Statistical and Machine Learning Techniques](https://www.tandfonline.com/doi/abs/10.1080/02640414.2012.757344).” Journal of Sports Sciences, vol. 31, no. 9, Routledge, May 2013, pp. 954–62, doi:[10.1080/02640414.2012.757344](https://doi.org/10.1080/02640414.2012.757344).

-   Pappalardo, Luca, et al. “[PlayeRank: Data-Driven Performance Evaluation and Player Ranking in Soccer via a Machine Learning Approach](https://dl.acm.org/doi/abs/10.1145/3343172).” ACM Transactions on Intelligent Systems and Technology, vol. 10, no. 5, ACM PUB27 New York, NY, USA, Sept. 2019, pp. 1–27, doi:[10.1145/3343172](https://doi.org/10.1145/3343172).

-   Podgorelec, Vili, et al. “[Classification of Similar Sports Images Using Convolutional Neural Network with Hyper-Parameter Optimization](https://www.mdpi.com/2076-3417/10/23/8494).” Applied Sciences, vol. 10, no. 23, Multidisciplinary Digital Publishing Institute, Nov. 2020, p. 8494, doi:[10.3390/app10238494](https://doi.org/10.3390/app10238494).

-   Rajsp, Alen, and Iztok Jr Fister. “[A Modified Evolutionary Algorithm for Generating the Cycling Training Routes](https://ieeexplore.ieee.org/abstract/document/9919828).” IEEE Access, vol. 10, 2022, pp. 109743–59, doi:[10.1109/ACCESS.2022.3214997](https://doi.org/10.1109/ACCESS.2022.3214997).

-   Rajšp, Alen, and Iztok Jr Fister. “[Discovering the Influence of Interruptions in Cycling Training: A Data Science Study](https://link.springer.com/chapter/10.1007/978-3-030-77970-2_32).” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12745 LNCS, Springer, Cham, 2021, pp. 420–432, doi:[10.1007/978-3-030-77970-2_32](https://doi.org/10.1007/978-3-030-77970-2_32).

-   Rajšp, Alen, et al. “[Preprocessing of Roads in OpenStreetMap Based Geographic Data on a Property Graph](http://archive.ceciis.foi.hr/app/public/conferences/2021/Proceedings/IS/IS3.pdf).” Proceedings of the Central European Conference on Information and Intelligent Systems, Faculty of Organization and Informatics, University of Zagreb, 2921, pp. 193–199.

-   Rajšp, Alen, Marjan Heričko, and Iztok Fister Jr. “[The use of Gamification in Smart Sport Training](https://www.proquest.com/docview/2531377525?pq-origsite%253Dgscholar%2526fromopenview%253Dtrue).”Proceedings of the Central European Conference on Information and Intelligent Systems, Faculty of Organization and Informatics, University of Zagreb, pp. 113-120

-   Rauter, Samo. “[New Approach for Planning the Mountain Bike Training with Virtual Coach](http://www.wbc.poznan.pl/Content/443839/PDF/4_Trends_2018_no2_69.pdf).” Trends in Sport Sciences, vol. 2, no. 25, 2018, pp. 69–74, doi:[10.23829/TSS.2018.25.2-2](https://doi.org/10.23829/TSS.2018.25.2-2).

-   Rodríguez-Gallego, Laura, et al. “[Assessment of Feedback Devices for Performance Monitoring in Master's Swimmers](https://www.tandfonline.com/doi/full/10.1080/24748668.2023.2181556).” International Journal of Performance Analysis in Sport, vol. 22, no. 5, Sept. 2022, pp. 701–14, doi:[10.1080/24748668.2023.2181556](https://doi.org/10.1080/24748668.2023.2181556).

-   Sakabe, Hibiki, and Yohei Nakada. “[Computational Method for Determining Optimal Dribbling Routes in Basketball](https://ieeexplore.ieee.org/abstract/document/9999118).” 2022 IEEE Eighth International Conference on Multimedia Big Data (BigMM), 2022, pp. 107–08. IEEE Xplore, doi:[10.1109/BigMM55396.2022.00024](https://doi.org/10.1109/BigMM55396.2022.00024).

-   Sakabe, Hibiki, and Yohei Nakada. “[Enhanced Method for Computing Optimal Dribbling Routes Using Tracking Data in Basketball](https://ieeexplore.ieee.org/document/10411800).” 2023 IEEE Ninth Multimedia Big Data (BigMM), 2023, pp. 11–18, doi:[10.1109/BigMM59094.2023.00009](https://doi.org/10.1109/BigMM59094.2023.00009).

-   Schaefer, David, et al. “[Training Plan Evolution Based on Training Models](https://ieeexplore.ieee.org/abstract/document/7276739).” 2015 International Symposium on Innovations in Intelligent SysTems and Applications (INISTA), IEEE, 2015, pp. 1–8, doi:[10.1109/INISTA.2015.7276739](https://doi.org/10.1109/INISTA.2015.7276739).

-   Sen, Anik, et al. “[Sequence Recognition of Indoor Tennis Actions Using Transfer Learning and Long Short-Term Memory](https://link.springer.com/chapter/10.1007/978-3-031-06381-7_22).” Frontiers of Computer Vision, 28th International Workshop, IW-FCV 2022, edited by Kazuhiko Sumi et al., Springer, Cham, 2022, pp. 312–24, doi:[10.1007/978-3-031-06381-7_22](https://doi.org/10.1007/978-3-031-06381-7_22).

-   Silacci, Alessandro, et al. “[Designing an E-Coach to Tailor Training Plans for Road Cyclists](https://link.springer.com/chapter/10.1007/978-3-030-27928-8_102).” Advances in Intelligent Systems and Computing, vol. 1026, Springer, Cham, 2020, pp. 671–77, doi:[10.1007/978-3-030-27928-8_102](https://doi.org/10.1007/978-3-030-27928-8_102).

-   Silacci, Alessandro, et al. “[Towards an AI-Based Tailored Training Planning for Road Cyclists: A Case Study](https://www.mdpi.com/2076-3417/11/1/313).” Applied Sciences, vol. 11, no. 1, Multidisciplinary Digital Publishing Institute, Dec. 2020, p. 313, doi:[10.3390/app11010313](https://doi.org/10.3390/app11010313).

-   Smyth, Barry, et al. “[Recommendations for Marathon Runners: On the Application of Recommender Systems and Machine Learning to Support Recreational Marathon Runners](https://link.springer.com/article/10.1007/s11257-021-09299-3).” User Modeling and User-Adapted Interaction, Springer, Aug. 2021, pp. 1–52, doi:[10.1007/s11257-021-09299-3](https://doi.org/10.1007/s11257-021-09299-3).

-   Stöckl, Michael, and Stuart Morgan. “[Visualization and Analysis of Spatial Characteristics of Attacks in Field Hockey](https://www.tandfonline.com/doi/abs/10.1080/24748668.2013.11868639).” International Journal of Performance Analysis in Sport, vol. 13, no. 1, Apr. 2013, pp. 160–78, doi:[10.1080/24748668.2013.11868639](https://doi.org/10.1080/24748668.2013.11868639).

-   Teikari, Petteri, and Aleksandra Pietrusz. “[Precision Strength Training: Data-Driven Artificial Intelligence Approach to Strength and Conditioning](https://osf.io/preprints/sportrxiv/w734a/).” SportRxiv, 2021, doi:[10.31236/OSF.IO/W734A](https://doi.org/10.31236/OSF.IO/W734A). Preprint.

-   Thorsen, Ola, et al. “[Can Machine Learning Help Reveal the Competitive Advantage of Elite Beach Volleyball Players?](https://ecp.ep.liu.se/index.php/sais/article/view/999)” Swedish Artificial Intelligence Society, 2024, pp. 57–66, doi:[10.3384/ecp208007](https://doi.org/10.3384/ecp208007).

-   Van Bulck, David, et al. “[Result-Based Talent Identification in Road Cycling: Discovering the next Eddy Merckx](https://link.springer.com/article/10.1007/s10479-021-04280-0).” Annals of Operations Research, Springer, Oct. 2021, pp. 1–18, doi:[10.1007/s10479-021-04280-0](https://doi.org/10.1007/s10479-021-04280-0).

-   Wang, Zhen, et al. “[Quantum Photonics Advancements Enhancing Health and Sports Performance.” Optical and Quantum Electronics](https://link.springer.com/article/10.1007/s11082-023-05917-z), vol. 56, no. 3, Mar. 2024, pp. 1–12, doi:[10.1007/s11082-023-05917-z](https://doi.org/10.1007/s11082-023-05917-z).

-   Xiong, Shengyao, and Xinwei Li. “[Intelligent Strategy of Internet of Things Computing in Badminton Sports Activities](https://www.hindawi.com/journals/wcmc/2022/9409151/).” Wireless Communications and Mobile Computing, edited by Venkateswaran N, vol. 2022, Oct. 2022, pp. 1–9, doi:[10.1155/2022/9409151](https://doi.org/10.1155/2022/9409151).

-   Yashiro, Kotaro, and Yohei Nakada. “[Fast Implementation for Computational Method of Optimum Attacking Play in Rugby Sevens](https://link.springer.com/chapter/10.1007/978-981-19-0836-1_8).” Modeling, Simulation and Optimization, edited by Biplab Das et al., Springer Nature, 2022, pp. 97–109. Springer Link, doi:[10.1007/978-981-19-0836-1_8](https://doi.org/10.1007/978-981-19-0836-1_8).

-   Zaib, Ali, and Muhammad Talal Ahmad. “[Research on Biomechanical Analysis of Football Player Using Information Technology in Sports Field](https://www.rpd-online.com/index.php/rpd/article/view/761).” Revista de Psicología Del Deporte (Journal of Sport Psychology), vol. 31, no. 3, Oct. 2022, pp. 21–30.

-   Zhang, Juwei, et al. “[The Relationship between Measurement and Evaluation in Physical Education Teaching Based on Intelligent Analysis and Sensor Data Mining](https://content.iospress.com/articles/journal-of-intelligent-and-fuzzy-systems/ifs235410).” Journal of Intelligent & Fuzzy Systems, no. Preprint, IOS Press, pp. 1–16, doi:[10.3233/JIFS-235410](https://doi.org/10.3233/JIFS-235410).

-   Zhang, Ying, et al. “[Research on Interactive Sports Game Experience in Physical Training System Based on Digital Entertainment Technology and Sensor Devices](https://www.sciencedirect.com/science/article/pii/S1875952124002349).” Entertainment Computing, 2024, p. 100866, doi:[10.1016/j.entcom.2024.100866](https://doi.org/10.1016/j.entcom.2024.100866).

-   Zhang, Yuwang, and Yuan Zhang. “[Sports Training System Based on Convolutional Neural Networks and Data Mining](https://www.hindawi.com/journals/cin/2021/1331759/).” Computational Intelligence and Neuroscience, vol. 2021, Hindawi Limited, 2021, doi:[10.1155/2021/1331759](https://doi.org/10.1155/2021/1331759).

-   Zhou, Haisheng, and Yang Li. “[Design of Intelligent Analysis System of Basketball Skilled Movement Based on Data Mining Technology](https://ieeexplore.ieee.org/document/10383045).” 2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE), IEEE, 2023, pp. 457–59, doi:[10.1109/ECICE59523.2023.10383045](https://doi.org/10.1109/ECICE59523.2023.10383045).

-   Zhu, Dan, et al. “[A Perspective on Rhythmic Gymnastics Performance Analysis Powered by Intelligent Fabric](https://link.springer.com/article/10.1007/s42765-022-00197-w).” Advanced Fiber Materials, Oct. 2022, doi:[10.1007/s42765-022-00197-w](https://doi.org/10.1007/s42765-022-00197-w).

-   Znika, I., and A. Radovan. “[Personal Physical Fitness Modeling through Real-Time Predictive Models](https://ieeexplore.ieee.org/document/10569604).” 2024 47th MIPRO ICT and Electronics Convention (MIPRO), 2024, pp. 157–62, doi:[10.1109/MIPRO60963.2024.10569604](https://doi.org/10.1109/MIPRO60963.2024.10569604). 

## Dissertation or thesis 📒

-   Gámez Díaz, Rogelio. "[Digital Twin Coaching for Edge Computing Using Deep Learning Based 2D Pose Estimation](https://ruor.uottawa.ca/items/7b1bdb69-dc2e-4602-9566-d811ee67f39f)." PhD diss., Université d'Ottawa/University of Ottawa, 2021, doi:[10.20381/ruor-26229](http://dx.doi.org/10.20381/ruor-26229).

-   Laamarti, Fedwa. "[Towards Standardized Digital Twins for Health, Sport, and Well-being](https://ruor.uottawa.ca/items/3736b7d6-8512-4f6e-bc91-962ab4d1d4f6)." PhD diss., Université d'Ottawa/University of Ottawa, 2019, doi:[10.20381/ruor-23746](http://dx.doi.org/10.20381/ruor-23746).

-   Murillo Burford, Esteban. “[Predicting Cycling Performance Using Machine Learning](https://www.proquest.com/openview/f0f80c5fd5c48f67edd9b7f3a375563d/).” Wake Forest University Graduate School of Arts and Sciences, 2020.

-   Eriksson, Rikard, and Johan Nicander. “[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](https://odr.chalmers.se/handle/20.500.12380/302927).” Chalmers University of Technology, 2021, doi:[20.500.12380/302927](https://doi.org/20.500.12380/302927).

## Tutorials 📖

-   Bock, Marius, et al. “[Tutorial on Deep Learning for Human Activity Recognition](https://arxiv.org/abs/2110.06663).” Oct. 2021, doi:[10.48550/arxiv.2110.06663](https://doi.org/10.48550/arxiv.2110.06663).

## Perspectives 📰

-   Chmait, Nader, and Hans Westerbeek. “[Artificial Intelligence and Machine Learning in Sport Research: An Introduction for Non-Data Scientists](https://www.frontiersin.org/articles/10.3389/fspor.2021.682287).” Frontiers in Sports and Active Living, vol. 3, Frontiers Media S.A., Dec. 2021, p. 363, doi:[10.3389/fspor.2021.682287](https://doi.org/10.3389/fspor.2021.682287).

## Datasets 📊

-   Rico-Garcia, Mateo, et al. “[Vertical Jump Data from Inertial and Optical Motion Tracking Systems](https://www.mdpi.com/2306-5729/7/8/116).” Data, vol. 7, no. 8, Aug. 2022, p. 116, doi:[10.3390/data7080116](https://doi.org/10.3390/data7080116).

-   Romagnoli, Sofia, et al. “[Sport DB 2.0: A New Database of Data Acquired by Wearable and Portable Devices While Practicing Sport](https://ieeexplore.ieee.org/abstract/document/10364234).” 2023 Computing in Cardiology (CinC), vol. 50, 2023, pp. 1–4, doi:[10.22489/CinC.2023.067](https://doi.org/10.22489/CinC.2023.067).

### Basketball 🏀

-   Hoelzemann, Alexander, et al. “[Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition Using Wrist-Worn Inertial Sensors](https://arxiv.org/pdf/2305.13124.pdf).” ArXiv, May 2023, doi:[10.48550/arXiv.2305.13124](https://doi.org/10.48550/arXiv.2305.13124).

### Cycling 🚲

-   Fister Jr., et al. “[A collection of sport activity datasets for data analysis and data mining 2017a](http://iztok-jr-fister.eu/static/publications/Sport4.zip).” Technical report 2017a, University of Maribor, 2017

-   Iztok Fister Jr., Samo Rauter, Dušan Fister, Iztok Fister. “[A collection of sport activity datasets with an emphasis on powermeter data](http://iztok-jr-fister.eu/static/publications/Sport5.zip).” Technical report, University of Maribor, November 2017

-   Rajšp, Alen, and Iztok Fister Jr. “[Neo4j Graph Dataset of Cycling Paths in Slovenia](https://www.sciencedirect.com/science/article/pii/S2352340923003700).” Data in Brief, vol. 48, June 2023, p. 109251, doi:[10.1016/j.dib.2023.109251](https://doi.org/10.1016/j.dib.2023.109251).

-   Samo Rauter, Iztok Fister Jr., Iztok Fister. “[A collection of sport activity files for data analysis and data mining 2016a](http://iztok-jr-fister.eu/static/css/datasets/Sport2.zip).” Technical report 0101, University of Ljubljana and University of Maribor 2016a, 2016

-   Iztok Fister Jr., Samo Rauter, Dušan Fister, Iztok Fister. “[A collection of sport activity datasets for data analysis and data mining 2016b](http://iztok-jr-fister.eu/static/publications/Sport3.zip).” Technical report 2016b, University of Maribor, 2016

-   Samo Rauter, Iztok Fister Jr., Iztok Fister. “[A collection of sport activity files for data analysis and data mining](http://iztok-jr-fister.eu/static/css/datasets/Sport.zip).” Ver 12 05, University of Maribor, 2015

### Soccer ⚽️

-   Rouissi, Mehdi, et al. “[Data concerning isometric lower limb strength of dominant versus not-dominant leg in young elite soccer players](https://www.sciencedirect.com/science/article/pii/S2352340918300258).” (2018).

-   Pappalardo, Luca, et al. “[A public data set of spatio-temporal match events in soccer competitions](https://www.nature.com/articles/s41597-019-0247-7).” Scientific data 6.1 (2019): 1-15.

-   Slimani, Maamer, Armin Paravlić, and Nicola Luigi Bragazzi. “[Data concerning the effect of plyometric training on jump performance in soccer players: A meta-analysis](https://www.sciencedirect.com/science/article/pii/S2352340917304857).” Data in brief 15 (2017): 324-334.

### Track and field 🏃‍

-   Aguilera-Castells, Joan, et al. “[Correlational data concerning body centre of mass acceleration, muscle activity, and forces exerted during a suspended lunge under different stability conditions in high-standard track and field athletes](https://www.sciencedirect.com/science/article/pii/S2352340919312673).” Data in brief 28 (2020): 104912.

### Triathlon 🥉

-   Iztok Fister Jr., Dušan Fister. “[A collection of IRONMAN, IRONMAN 70.3 and Ultra-triathlon race results](http://iztok-jr-fister.eu/static/publications/158.pdf).”, version 0.1, Technical Report 0110, 2016

### Wrestling 🤼‍♀️

-   Okagbue, Hilary I., et al. “[Statistical analysis of frequencies of opponents׳ eliminations in Royal Rumble wrestling matches](https://www.sciencedirect.com/science/article/pii/S2352340918306747).”, 1988–2018.” Data in brief 19 (2018): 1458-1465.

## Benchmarks 🧪

-   [Tcx test files](https://github.com/firefly-cpp/tcx-test-files) - A collection of the sports activity (tcx) test files for benchmarking the parsers

## Software 💻

-   [ast-monitor](https://github.com/firefly-cpp/AST-Monitor) - A wearable Raspberry Pi computer for cyclists.

-   [ast-tdl](https://github.com/firefly-cpp/ast-tdl) - Training Description Language.

-   [gpx](https://cran.r-project.org/web/packages/gpx/index.html) - Process GPX Files into R Data Structures.

-   [gpxpy](https://github.com/tkrajina/gpxpy) - A simple Python library for parsing and manipulating GPX files.

-   [openant](https://github.com/Tigge/openant) - ANT and ANT-FS Python Library.

-   [python-tcxparser](https://github.com/vkurup/python-tcxparser) - Simple parser for Garmin TCX files.

-   [sport-activities-features](https://github.com/firefly-cpp/sport-activities-features) - A minimalistic toolbox for extracting features from sport activity files written in Python.

-   [tcxread](https://github.com/firefly-cpp/tcxread) - A parser for TCX files.

-   [tcxreader](https://github.com/alenrajsp/tcxreader) - Reader / parser for Garmin's TCX file format.

-   [TCXWriter](https://github.com/firefly-cpp/TCXWriter) - Library for writing/creating TCX files on Arduino & ESP32 devices

-   [tcx2gpx](https://gitlab.com/nshephard/tcx2gpx) - Python package for converting tcx GPS files to gpx files.

-   [TCXReader.jl](https://github.com/firefly-cpp/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](https://doi.org/10.5281/zenodo.10431418)