Redefining Sports: Esports, Environments, Signals and Functions

Authors

Abstract

The sports landscape is constantly changing due to innovation and entrepreneurship. The availability of technology led to the emergence of esports and augmented sports. Biofeedback and sensing technologies can be used for athlete monitoring and training purposes. Research on motor control deals with planning and execution of bodily movements and provides some insights towards formal presentation of sports.
Previous research provided many sports categorization models. On many occasions, published articles failed to distinguish recreational/leisure competitive gameplay activity (gaming) from athletic performance (esports). Our goal was to define esports by extending existing universal sport definitions and propose a novel modular computational framework for categorizing sports through environments and signals.
We have fulfilled our goals by illustrating how signals flow within competitive (sports) environments. Our esports definition introduces esports as a group of sports similar to motorsports. Moreover, we have defined mathematical foundations for signal processing by various actors (athletes, referees, environments, intermediate processing steps). We have demonstrated that representing sports as a multidimensional signal can lead to the categorization of sports through computation. We claim that our approach could be applied to transfer training methods from similar sports, analysis of the training process, and referee error measurement.
Our study was not without limitations. Further research is required to validate our theoretical model by embedding available variables in latent space to calculate similarity measures between sports.

References

V. Ratten, Game Changes in Sport: The Role of Innovation and Creativity. Cham: Springer International Publishing, 2018, pp. 35–49. [Online]. Available: https://doi.org/10.1007/978-3-319-73010-3_3

T. M. Scholz, A Short History of eSports and Management. Cham: Springer International Publishing, 2019, pp. 17–41. [Online]. Available: https://doi.org/10.1007/978-3-030-11199-1_2

T. Nojima, K. Rebane, R. Shijo, T. Schewe, S. Azuma, Y. Inoue, T. Kai, N. Endo, and Y. Yanase, “Designing Augmented Sports: Merging Physical Sports and Virtual World Game Concept,” in Human Interface and the Management of Information. Interaction, Visualization, and Analytics, S. Yamamoto and H. Mori, Eds. Cham: Springer International Publishing, 2018, pp. 403–414.

R. Ross, J. Whittington, and P. Huynh, “LaserTag for STEM Engagement and Education,” IEEE Access, vol. 5, pp. 19 305–19 310, 2017. [Online]. Available: https://doi.org/10.1109/ACCESS.2017.27532182

P. Dobrowolski, M. Skorko, M. Mysliwiec, N. Kowalczyk-Gr˛ebska, J. Michalak, and A. Brzezicka, “Perceptual, Attentional, and Executive Functioning After Real-Time Strategy Video Game Training:

Efficacy and Relation to In-Game Behavior,” Journal of Cognitive Enhancement, vol. 5, no. 4, pp. 397–410, dec 2021. [Online]. Available: https://doi.org/10.1007/s41465-021-00211-w

A. Umek and A. Kos, “Wearable sensors and smart equipment for feedback in watersports,” Procedia Computer Science, vol. 129, pp. 496–502, 2018, 2017 International Conference on Identification, Information

and Knowledge in the Internet of Things. [Online]. Available: 10.1016/j.procs.2018.03.030

A. Kos, Y. Wei, S. Tomažic, and A. Umek, “The role of science and technology in sport,” Procedia Computer Science, vol. 129, pp. 489–495, 2018, 2017 International Conference on Identification, Information

and Knowledge in the Internet of Things. [Online].

Available: https://doi.org/10.1016/j.procs.2018.03.029

T. Allen, J. Shepherd, J. Wood, D. Tyler, and O. Duncan, “Chapter 16 - Wearables for disabled and extreme sports,” in Digital Health, A. Godfrey and S. Stuart, Eds. Academic Press, 2021, pp. 253–273. [Online]. Available: https://doi.org/10.1016/B978-0-12-818914-6.00016-8

D. Bednárek, M. Krulis, J. Yaghob, and F. Zavoral, “Data Preprocessing of eSport Game Records - Counter-Strike: Global Offensive,” jan 2017, pp. 269–276. [Online]. Available: https://doi.org/10.5220/0006475002690276

Blizzard, “s2client-proto,” 2017, acessed: 2021-08- 26. [Online]. Available: https://github.com/Blizzard/ s2client-proto

L. Zezula, 2017, acessed: 2021-08-26. [Online]. Available: ttp://www.zezula.net/en/mpq/mpqformat.html

A. Belicza, “s2prot,” https://github.com/icza/s2prot, 2016, acessed:

-10-13.

T. Engel, “Creating a Replay System in Unity,” sep 2020, acessed: 2022-07-29. [Online]. Available: https://www.raywenderlich.

com/7728186-creating-a-replay-system-in-unity#toc-anchor-002

S. E. Jenny, R. D. Manning, M. C. Keiper, and T. W. Olrich, “Virtual(ly) Athletes: Where eSports Fit Within the Definition of “Sport”,” Quest, vol. 69,

no. 1, pp. 1–18, 2017. [Online]. Available: https://doi.org/10.1080/00336297.2016.1144517

L. Tabacof, S. Dewil, J. E. Herrera, M. Cortes, and D. Putrino, “Adaptive Esports for People With Spinal Cord Injury: New Frontiers for Inclusion in Mainstream Sports Performance,” Frontiers in Psychology, vol. 12, 2021. [Online]. Available: https://doi.org/10.3389/fpsyg.2021.612350

“Xbox Adaptive Controller,” accessed on 2022.05.04. [Online]. Available: https://www.xbox.com/en-US/accessories/controllers/xbox-adaptive-controller

M. Pustišek, Y. Wei, Y. Sun, A. Umek, and A. Kos, “The role of

echnology for accelerated motor learning in sport,” Personal and REDEFINING SPORTS: ESPORTS, ENVIRONMENTS, SIGNALS AND

UNCTIONS 547 Ubiquitous Computing, aug 2019. [Online]. Available:

https://doi.org/10.1007/s00779-019-01274-5

M. A. Chen, K. Spanton, P. van Schaik, I. Spears, and D. Eaves, “The Effects of Biofeedback on Performance and Technique of the Boxing Jab,”

Perceptual and Motor Skills, vol. 128, no. 4, pp. 1607–1622, 2021, pMID: 33940988. [Online]. Available: https://doi.org/10.1177/00315125211013251

M. Mikicin, “The autotelic involvement of attention induced by EEG neurofeedback training improves the performance of an athlete’s mind,” Biomedical Human Kinetics, vol. 7, no. 1, 2015. [Online]. Available:

https://doi.org/10.1515/bhk-2015-0010

P. Dobrowolski, M. Skorko, G. Pochwatko, M. Mysliwiec, and A. Grabowski, “Immersive Virtual Reality and Complex Skill Learning: Transfer Effects After Training in Younger and Older Adults,” Frontiers in Virtual Reality, vol. 1, 2021. [Online]. Available: https://doi.org/10.3389/frvir.2020.604008

M. G. Maggio, G. Maresca, R. De Luca, M. C. Stagnitti, B. Porcari, M. C. Ferrera, F. Galletti, C. Casella, A. Manuli, and R. S. Calabrò, “The Growing Use of Virtual Reality in Cognitive Rehabilitation: Fact, Fake or Vision? A Scoping Review,” Journal of the National Medical Association, vol. 111, no. 4, pp. 457–463, 2019. [Online]. Available: 10.1016/j.jnma.2019.01.003

M. F. Pereira, C. Prahm, J. Kolbenschlag, E. Oliveira, and N. F. Rodrigues, “Application of AR and VR in hand rehabilitation: A systematic review,” Journal of Biomedical Informatics, vol. 111, p. 103584, 2020.

[Online]. Available: https://doi.org/10.1016/j.jbi.2020.103584

J. S. Matthis, K. S. Muller, K. L. Bonnen, and M. M. Hayhoe, “Retinal optic flow during natural locomotion,” PLOS Computational Biology, vol. 18,

no. 2, pp. 1–37, feb 2022. [Online]. Available: https://doi.org/10.1371/journal.pcbi.1009575

A. Seth, J. L. Hicks, T. K. Uchida, A. Habib, C. L. Dembia, J. J. Dunne, C. F. Ong, M. S. DeMers, A. Rajagopal, M. Millard, S. R. Hamner, E. M. Arnold, J. R. Yong, S. K. Lakshmikanth, M. A. Sherman, J. P. Ku, and S. L. Delp, “OpenSim: Simulating musculoskeletal dynamics and neuromuscular control to study human and animal movement,” PLOS Computational Biology, vol. 14, no. 7, pp. 1–20, jul 2018. [Online]. Available:

https://doi.org/10.1371/journal.pcbi.1006223

M. H. Woollacott and A. Shumway-Cook, Motor control : translating research into clinical practice, fifth edition. ed. Philadelphia: Philadelphia : Wolters Kluwer, 2017.

M. L. Latash, M. F. Levin, J. P. Scholz, and G. Schöner, “Motor control theories and their applications,” Medicina, vol. 46, no. 6, 2010. [Online].

Available: https://www.mdpi.com/1648-9144/46/6/382

“Olympics sports list,” accessed on 2022.04.14. [Online].

Available: https://olympics.com/en/sports/

Y. Chikish, M. Carreras-Simó, and J. Garci, eSports: A New Era for the Sports Industry and a New Impulse for the Research in Sports (and) Economics?, apr 2019, pp. 477–508.

G. Alce, A. Hansson, and K. Mårtensson, “Using VR for Fitness Training – Pilot Study,” in Virtual Reality and Augmented Reality, P. Bourdot, V. Interrante, L. Nedel, N. Magnenat-Thalmann, and G. Zachmann, Eds. Cham:

Springer International Publishing, 2019, pp. 97–115.

J. Katona, “A Review of Human-Computer Interaction and Virtual Reality Research Fields in Cognitive InfoCommunications,” Applied Sciences,

vol. 11, no. 6, 2021. [Online]. Available: https://doi.org/10.3390/app11062646

M. Kul, F. Çatikka¸s, M. Türkmen, and H. Akyüz, “The Role oF Sports in Recreational Activities,” The Online Journal of Recreation and Sport, vol. 4, no. 1, pp. 40– 47, jan 2015.

N. Khromov, A. Korotin, A. Lange, A. Stepanov, E. Burnaev, and A. Somov, “Esports Athletes and Players: A Comparative Study,” IEEE Pervasive Computing, vol. 18, no. 3, pp. 31–39, 2019. [Online].

Available: https://doi.org/10.1109/MPRV.2019.2926247

J. J. Thompson, M. R. Blair, L. Chen, and A. J. Henrey, “Video Game Telemetry as a Critical Tool in the Study of Complex Skill Learning,” PLoS

ONE, vol. 8, no. 9, 2013. [Online]. Available: https://doi.org/10.1371/journal.pone.0075129

B. Heere, “Embracing the sportification of society: Defining e-sports through a polymorphic view on sport,” Sport Management Review, vol. 21, no. 1, pp. 21–24, 2018. [Online]. Available: https://doi.org/10.1016/j.smr.2017.07.002

P. Koch and B. Krenn, “Executive functions in elite athletes - Comparing open-skill and closed-skill sports and considering the role of athletes’ past involvement in both sport categories,” Psychology of Sport and Exercise, vol. 55, p. 101925, 2021. [Online]. Available:

https://doi.org/10.1016/j.psychsport.2021.101925

H. Sozanski, J. Czerwiński, and J. Sadowski, "Podstawy teorii i technologii treningu sportowego". AWF Warszawa, 2013, vol. 1.

C. Si, Y. Pisan, C. T. Tan, and S. Shen, “An Initial Understanding of How Game Users Explore Virtual Environments,” Entertainment Computing, vol. 19, pp. 13–27, mar 2017. [Online]. Available: https://doi.org/10.

/j.entcom.2016.11.003

M. Sjöblom, M. Törhönen, J. Hamari, and J. Macey, “Content structure is king: An empirical study on gratifications, game genres and content type on Twitch,” Computers in Human Behavior, vol. 73, pp. 161–171, 2017. [Online]. Available: https://doi.org/10.1016/j.chb.2017.03.036

S. P. Valladão, J. Middleton, and T. L. Andre, “Esport: Fortnite Acutely Increases Heart Rate of Young Men,” International journal of exercise science, vol. 13, no. 6, pp. 1217–1227, sep 2020. [Online]. Available:

https://pubmed.ncbi.nlm.nih.gov/33042380

D. P. Hedlund, “A Typology of Esport Players,”Journal of Global Sport Management, vol. 0, no. 0, pp. 548 A. BIAŁECKI, R. BIAŁECKI, J. GAJEWSKI

–18, 2021. [Online]. Available: https://doi.org/10.1080/24704067.2021.1871858

M. R. Llorens, “eSport Gaming: The Rise of a New Sports Practice,” Sport, Ethics and Philosophy, vol. 11, no. 4, pp. 464–476, 2017. [Online]. Available: https://doi.org/10.1080/17511321.2017.1318947

A. St˛epnik, “E-sport z perspektywy teorii sportu,” Homo Ludens, no. 1, pp. 213–222, 2009.

S. Erwin, I., “Budget Cuts, Fuels Costs Could Spur Military Spending on Virtual Training,” National Defense, vol. 97, no. 709, pp. 38–41, 2012. [Online]. Available: https://www.jstor.org/stable/27019532

O. Lappi, “The Racer’s Mind—How Core PerceptualCognitive Expertise Is Reflected in Deliberate Practice Procedures in Professional Motorsport,” Frontiers in Psychology, vol. 9, 2018. [Online]. Available: https://www.frontiersin.org/articles/10.3389/fpsyg.2018.01294

J. Shoemaker, “World Record: An Analysis of the Speedrunning Phenomenon and its Community Anthropology Senior Seminar,” apr 2022. [Online]. Available: http://dx.doi.org/10.13140/RG.2.2.36026.88003

E. C. Lee, M. S. Fragala, S. A. Kavouras, R. M. Queen, J. L. Pryor, and D. J. Casa, “Biomarkers in Sports and Exercise: Tracking Health, Performance, and Recovery in Athletes,” Journal of Strength and Conditioning Research, vol. 31, no. 10, pp. 2920–2937, oct 2017. [Online]. Available: https://doi.org/10.1519/JSC.0000000000002122

I. San-Millán, Blood Biomarkers in Sports Medicine and Performance and the Future of Metabolomics. New York, NY: Springer New York, 2019, pp. 431–446. [Online]. Available: https://doi.org/10.1007/978-1-4939-9236-2_26

A. J. Walker, B. A. McFadden, D. J. Sanders, M. M. Rabideau, M. L. Hofacker, and S. M. Arent, “Biomarker Response to a Competitive Season in Division I Female Soccer Players,” The Journal of Strength & Conditioning

Research, vol. 33, no. 10, 2019. [Online]. Available:

https://doi.org/10.1519/JSC.0000000000003264

K. Busko, Z. Staniak, M. Szark-Eckardt, P. T. Nikolaidis, J. Mazur-Rózycka, P. Łach, R. Michalski, J. Gajewski, and M. Górski, “Measuring the force of punches and kicks among combat sport athletes using a modified

punching bag with an embedded accelerometer,” Acta of Bioengineering and Biomechanics, vol. 18, no. 1, pp. 47–54, 2016. [Online]. Available: https://doi.org/10.5277/ABB-00304-2015-02

N. Sheldon, E. Girard, S. Borg, M. Claypool, and E. Agu, “The Effect of Latency on User Performance in Warcraft III,” in Proceedings of the 2nd Workshop on Network and System Support for Games, ser. NetGames ’03. New York, NY, USA: Association for Computing Machinery, 2003, pp. 3–14. [Online]. Available: https://doi.org/10.1145/963900.963901

M. Claypool and D. Finkel, “The effects of latency on player performance in cloud-based games,” in 2014 13th Annual Workshop on Network and Systems Support for Games, 2014, pp. 1–6. [Online]. Available: https://doi.org/10.1109/NetGames.2014.7008964

K. Raaen and A. Petlund, “How Much Delay is There Really in Current Games?” in Proceedings of the 6th ACM Multimedia Systems Conference, ser. MMSys ’15. New York, NY, USA: Association for Computing Machinery, 2015, pp. 89–92. [Online]. Available: https://doi.org/10.1145/2713168.2713188

M. Claypool, A. Cockburn, and C. Gutwin, “The Impact of Motion and Delay on Selecting Game Targets with a Mouse,” ACM Transactions on Multimedia Computing, Communications, and Applications, vol. 16, no. 2s,

jun 2020. [Online]. Available: https://doi.org/10.1145/3390464

M. Claypool and K. Claypool, “Latency Can Kill: Precision and Deadline in Online Games,” in Proceedings of the First Annual ACM SIGMM Conference on Multimedia Systems, ser. MMSys ’10. New York, NY, USA: Association for Computing Machinery, 2010, pp. 215–222. [Online]. Available: https://doi.org/10.1145/1730836.1730863

“Physical activity,” accessed on 2022.05.04. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/physical-activity

J. Parry, “E-sports are Not Sports,” Sport, Ethics and Philosophy, vol. 13, no. 1, pp. 3–18, 2019.

[Online]. Available: https://doi.org/10.1080/17511321.2018.1489419

S. Recanatesi, M. Farrell, G. Lajoie, S. Deneve, M. Rigotti, and E. Shea-Brown, “Predictive learning as a network mechanism for extracting low-dimensional latent space representations,” Nature Communications, vol. 12, no. 1, p. 1417, mar 2021. [Online]. Available: https://doi.org/10.1038/s41467-021-21696-1

W. Guo and M. Diab, “Modeling Sentences in the Latent Space,” in

roceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Jeju Island, Korea: Association for

Computational Linguistics, jul 2012, pp. 864–872.

[Online]. Available: https://aclanthology.org/P12-1091

P. D. Hoff, A. E. Raftery, and M. S. Handcock, “Latent Space Approaches to Social Network Analysis,”Journal of the American Statistical Association, vol. 97, no. 460, pp. 1090–1098, 2002. [Online]. Available:

https://doi.org/10.1198/016214502388618906

E. Lintunen, “Latent Spaces: The High-Dimensional Infosphere,” in Proceedings of the Halfway to the Future Symposium 2019, ser. HTTF 2019. New York, NY, USA: Association for Computing Machinery, 2019. [Online].

Available: https://doi.org/10.1145/3363384.3363395

D. Angelov, “Top2Vec: Distributed Representations of Topics,” 2020. [Online]. Available: https://doi.org/10.48550/arXiv.2008.09470

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2024-04-19

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Applied Informatics