DataDriven Training: Enhancing Athletic Performance through Wearable Technologies and Artificial Intelligence

Veri-Odaklı Antrenman: Giyilebilir Teknolojiler ve Yapay Zekâ ile Sporcu Performansının Yükseltilmesi

Tunay DİLİCAN¹

¹Bursa Uludağ Universtiy, /Orcid ID: 0000-0003-4686-6849 e-posta: tunaydilican86@hotmail.com

Doi: https://doi.org/10.5281/zenodo.17583376

https://www.ijoss.org/Archive/issue2-volume3/ijoss-Volume2-issue3-33.pdf

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Received / Gönderim: 08.08.2025 Accepted / Kabul: 15.09.2025 Published / Yayın: 24.10.2025

Abstract

This review examines the increasingly prominent concept of data-driven training in contemporary sports science, discussing the role of wearable technologies and artificial intelligence in enhancing athletic performance. Based on the existing body of published research, the literature indicates substantial advancements in performance assessment, load management, and injury prevention. The large datasets generated through wearable devices can be analysed through AI algorithms, enabling the development of highly individualised training models. However, persistent challenges—such as data security, ethical standards, algorithmic bias, and financial accessibility—continue to limit the widespread adoption of these technologies. The review emphasises the need for future systems to be developed in a more transparent, accessible, and ethically grounded manner. Ultimately, data-driven approaches signal a new era in modern sport, one that extends beyond performance optimisation to encompass sustainability and a more human-centred model of athletic training.

Keywords: Artificial intelligence, Performance, Training

Öz

Bu derleme, son yıllarda spor biliminde giderek önem kazanan veri-odaklı antrenman anlayışını incelemekte; giyilebilir teknolojiler ve yapay zekâ uygulamalarının sporcu performansının geliştirilmesindeki rolünü tartışmaktadır. Yayımlanmış çalışmalar temel alınarak, literatür taraması sonucunda performans ölçümü, yük yönetimi ve sakatlık önleme konularında önemli gelişmeler olduğu görülmüştür. Giyilebilir cihazlar aracılığıyla elde edilen büyük veri setleri, yapay zekâ algoritmalarıyla analiz edilerek bireyselleştirilmiş antrenman modellerinin oluşturulmasına imkân tanımaktadır. Bununla birlikte, veri güvenliği, etik standartlar, algoritmik önyargı ve maliyet gibi sorunlar, teknolojilerin yaygın kullanımını sınırlamaktadır. Çalışma, gelecekte bu teknolojilerin daha şeffaf, erişilebilir ve etik temellere dayalı biçimde geliştirilmesinin gerekliliğini vurgulamaktadır. Sonuç olarak, veri odaklı yaklaşımlar, modern sporun sadece performans optimizasyonu değil, aynı zamanda sürdürülebilirlik ve insan merkezli antrenman anlayışı açısından da yeni bir dönemi temsil etmektedir.

Anahtar Kelimeler: Yapay zeka, Performans, Antrenman

APA 7 Citation

Dilican, T. (2025). Data-Driven Training: Enhancing Athletic Performance through Wearable Technologies and Artificial Intelligence. International Journal of Health, Exercise, and Sport Sciences, 2(3), 407–418.

https://www.ijoss.org/Archive/issue2-volume3/ijoss-Volume2-issue3-33.pdf

https://doi.org/10.5281/zenodo.17583376

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