Utilization of Sensor technology as a Sport Technology Innovation in Athlete Performance Measurement: Research Trends

https://doi.org/10.22146/ijeis.89581

Muhammad Eka Mardyansyah Simbolon(1*), Dzihan Khilmi Ayu Firdausi(2), Indra Dwisaputra(3), Agus Rusdiana(4), Catur Pebriandani(5), Renaldo Prayoga(6)

(1) Universitas Muhammadiyah Bangka Belitung
(2) Universitas Muhammadiyah Bangka Belitung
(3) Politeknik Manufaktur Negeri Bangka Belitung
(4) Universitas Pendidikan Indonesia
(5) Politeknik Manufaktur Negeri Bangka Belitung
(6) Universitas Muhammadiyah Bangka Belitung
(*) Corresponding Author

Abstract


The Industrial Revolution 4.0 has led to rapid technological advancements in sports technology, aiming to improve athlete performance and monitor developments. These innovations have had an impact on the sports industry, but have only been felt in developed countries. Existing studies on entrepreneurship, extended reality, e-textiles, and inertial movement units (IMU) have explored various aspects of sports technology. However, no review has focused on sensor technology's use in sports performance. This study bibliometrically evaluates sports technology research from 2008 through 2023, identifying trends in growth, notable publications, top authors, journals, institutions, and nations. The results give readers and researchers new information about the development and growth of sports sensor technology subjects as well as about active and potential research areas. China is the most productive country, contributing 17 publications related to sports technology, while the United Kingdom is the most impactful country with 474 citations.

Keywords


Athlete Performance; sport technology; bibliometrics; co-word analysis; research trends

Full Text:

PDF


References

R. R. Neptune, C. P. McGowan, and J. M. Fiandt, “The influence of muscle physiology and advanced technology on sports performance,” Annual Review of Biomedical Engineering, vol. 11. Department of Mechanical Engineering, University of Texas, Austin, TX 78712, United States, pp. 81–107, 2009, doi: 10.1146/annurev-bioeng-061008-124941.

A. Rusdiana, “Running Speed Device Development Using a Microcontroller with a Computer System Interface,” Int. J. Control Theory Appl., vol. 9, no. 229, pp. 207–214, 2016.

P. Escamilla-Fajardo, J. M. Núñez-Pomar, V. Ratten, and J. Crespo, “Entrepreneurship and innovation in soccer: Web of science bibliometric analysis,” Sustain., vol. 12, no. 11, 2020, doi: 10.3390/su12114499.

J. Zhao, J. Mao, and J. Tan, “Global trends and hotspots in research on extended reality in sports: A bibliometric analysis from 2000 to 2021,” Digit. Heal., vol. 8, 2022, doi: 10.1177/20552076221131141.

D. Vieira, H. Carvalho, and B. Providência, “E-textiles for sports: A systematic review,” J. Biomimetics, Biomater. Biomed. Eng., vol. 57, pp. 37–46, 2022, doi: 10.4028/p-e03md3.

G. Anandh, S. PrasannaVenkatesan, M. Goh, and K. Mathiyazhagan, “Reuse assessment of WEEE: Systematic review of emerging themes and research directions,” J. Environ. Manage., vol. 287, no. November 2020, p. 112335, 2021, doi: 10.1016/j.jenvman.2021.112335.

S. L. Gebre, D. Cattrysse, E. Alemayehu, and J. Van Orshoven, “Multi-criteria decision making methods to address rural land allocation problems: A systematic review,” Int. Soil Water Conserv. Res., vol. 9, no. 4, pp. 490–501, 2021, doi: 10.1016/j.iswcr.2021.04.005.

G. Faulkner, M. J. Fagan, and J. Lee, “Umbrella reviews (systematic review of reviews),” Int. Rev. Sport Exerc. Psychol., vol. 15, no. 1, pp. 73–90, 2022, doi: 10.1080/1750984X.2021.1934888.

C. D. McLaren and M. W. Bruner, “Citation network analysis,” Int. Rev. Sport Exerc. Psychol., vol. 15, no. 1, pp. 179–198, 2022, doi: 10.1080/1750984X.2021.1989705.

Y. Jeong, E. J. Woo, and S. Lee, “Bibliometric analysis on the trend of the computed tomography (Ct)-related studies in the field of forensic science,” Appl. Sci., vol. 10, no. 22, pp. 1–13, 2020, doi: 10.3390/app10228133.

S. H. H. Shah, S. Lei, M. Ali, D. Doronin, and S. T. Hussain, “Prosumption: bibliometric analysis using HistCite and VOSviewer,” Kybernetes, vol. 49, no. 3, pp. 1020–1045, 2019, doi: 10.1108/K-12-2018-0696.

A. Aristovnik, D. Ravšelj, and L. Umek, “A bibliometric analysis of covid-19 across science and social science research landscape,” Sustain., vol. 12, no. 21, pp. 1–30, 2020, doi: 10.3390/su12219132.

L. J. R. Lopez and A. I. G. Castro, “Sustainability and resilience in smart city planning: A review,” Sustain., vol. 13, no. 1, pp. 1–25, 2021, doi: 10.3390/su13010181.

H. Xie, Y. Wen, Y. Choi, and X. Zhang, “Global Trends on Food Security Research: A Bibliometric Analysis,” Land, vol. 10, no. 2, p. 119, 2021, doi: 10.3390/land10020119.

L. Meng, K. H. Wen, R. Brewin, and Q. Wu, “Knowledge atlas on the relationship between urban street space and residents’ health-a bibliometric analysis based on vos viewer and cite space,” Sustain., vol. 12, no. 6, 2020, doi: 10.3390/su12062384.

F. Lord, D. B. Pyne, M. Welvaert, and J. K. Mara, “Capture, analyse, visualise: An exemplar of performance analysis in practice in field hockey,” PLoS One, vol. 17, no. 5 May, 2022, doi: 10.1371/journal.pone.0268171.

M. Robinson, A. M. Johnson, L. K. Fischer, and H. M. MacKenzie, “Two Symptoms to Triage Acute Concussions: Using Decision Tree Modeling to Predict Prolonged Recovery after a Concussion,” Am. J. Phys. Med. Rehabil., vol. 101, no. 2, pp. 135–138, 2022, doi: 10.1097/PHM.0000000000001754.

K. Kodama, H. Yamagiwa, and K. Yasuda, “Bimanual coordination in a whole-body dynamic balance sport, slacklining: A comparison of novice and expert,” Motor Control, vol. 25, no. 3, pp. 462–474, 2021, doi: 10.1123/MC.2020-0113.

K. L. Roe, K. R. Giordano, G. A. Ezzell, and J. Lifshitz, “Public Awareness of the Fencing Response as an Indicator of Traumatic Brain Injury: Quantitative Study of Twitter and Wikipedia Data,” JMIR Form. Res., vol. 7, 2023, doi: 10.2196/39061.

J. Yadav, M. Misra, N. P. Rana, and K. Singh, “Exploring the synergy between nano-influencers and sports community: behavior mapping through machine learning,” Inf. Technol. People, vol. 35, no. 7, pp. 1829–1854, 2022, doi: 10.1108/ITP-03-2021-0219.

J. Yadav, M. Misra, N. P. Rana, K. Singh, and S. Goundar, “Blockchain’s potential to rescue sports: A social media perspective,” in Distributed Computing to Blockchain: Architecture, Technology, and Applications, Department of Marketing & Strategy, IBS Hyderabad, Hyderabad, India: Elsevier, 2023, pp. 405–414.

B. Bideau, R. Kulpa, N. Vignais, S. Brault, F. Multon, and C. Craig, “Using virtual reality to analyze sports performance,” IEEE Comput. Graph. Appl., vol. 30, no. 2, pp. 14–21, 2010, doi: 10.1109/MCG.2009.134.

D. Morris, S. Coyle, Y. Wu, K. T. Lau, G. Wallace, and D. Diamond, “Bio-sensing textile based patch with integrated optical detection system for sweat monitoring,” Sensors Actuators, B Chem., vol. 139, no. 1, pp. 231–236, 2009, doi: 10.1016/j.snb.2009.02.032.

D. R. Seshadri et al., “Wearable sensors for monitoring the internal and external workload of the athlete,” npj Digit. Med., vol. 2, no. 1, 2019, doi: 10.1038/s41746-019-0149-2.

Y. Adesida, E. Papi, and A. H. McGregor, “Exploring the role of wearable technology in sport kinematics and kinetics: A systematic review,” Sensors (Switzerland), vol. 19, no. 7, 2019, doi: 10.3390/s19071597.

I. Fister, S. Rauter, X.-S. Yang, K. Ljubič, and I. Fister Jr, “Planning the sports training sessions with the bat algorithm,” Neurocomputing, vol. 149, no. PB, pp. 993–1002, 2015, doi: 10.1016/j.neucom.2014.07.034.

S. Peng, P. Blanloeuil, S. Wu, and C. H. Wang, “Rational Design of Ultrasensitive Pressure Sensors by Tailoring Microscopic Features,” Adv. Mater. Interfaces, vol. 5, no. 18, 2018, doi: 10.1002/admi.201800403.

T. Ray et al., “Soft, skin-interfaced wearable systems for sports science and analytics,” Curr. Opin. Biomed. Eng., vol. 9, pp. 47–56, 2019, doi: 10.1016/j.cobme.2019.01.003.

D. R. Seshadri, C. Drummond, J. Craker, J. R. Rowbottom, and J. E. Voos, “Wearable Devices for Sports: New Integrated Technologies Allow Coaches, Physicians, and Trainers to Better Understand the Physical Demands of Athletes in Real time,” IEEE Pulse, vol. 8, no. 1, pp. 38–43, 2017, doi: 10.1109/MPUL.2016.2627240.

F. S. Ayachi, J. Dorey, and C. Guastavino, “Identifying factors of bicycle comfort: An online survey withenthusiast cyclists,” Appl. Ergon., vol. 46, no. Part A, pp. 124–136, 2015, doi: 10.1016/j.apergo.2014.07.010.

J. Taborri et al., “Sport biomechanics applications using inertial, force, and EMG sensors: A literature overview,” Appl. Bionics Biomech., vol. 2020, 2020, doi: 10.1155/2020/2041549.

H. N. Su and P. C. Lee, “Mapping knowledge structure by keyword co-occurrence: A first look at journal papers in Technology Foresight,” Scientometrics, vol. 85, no. 1, pp. 65–79, 2010, doi: 10.1007/s11192-010-0259-8.

P. C. Lee and H. N. N. Su, “Investigating the structure of regional innovation system research through keyword co-occurrence and social network analysis,” Innov. Manag. Policy Pract., vol. 12, no. 1, pp. 26–40, 2010, doi: 10.5172/impp.12.1.26.

C. Chen, R. Dubin, and M. C. Kim, “Emerging trends and new developments in regenerative medicine: A scientometric update (2000-2014),” Expert Opin. Biol. Ther., vol. 14, no. 9, pp. 1295–1317, 2014, doi: 10.1517/14712598.2014.920813.



DOI: https://doi.org/10.22146/ijeis.89581

Article Metrics

Abstract views : 1120 | views : 1124

Refbacks

  • There are currently no refbacks.




Copyright (c) 2023 IJEIS (Indonesian Journal of Electronics and Instrumentation Systems)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.



Copyright of :
IJEIS (Indonesian Journal of Electronics and Instrumentations Systems)
ISSN 2088-3714 (print); ISSN 2460-7681 (online)
is a scientific journal the results of Electronics
and Instrumentations Systems
A publication of IndoCEISS.
Gedung S1 Ruang 416 FMIPA UGM, Sekip Utara, Yogyakarta 55281
Fax: +62274 555133
email:ijeis.mipa@ugm.ac.id | http://jurnal.ugm.ac.id/ijeis



View My Stats1
View My Stats2