The quantified athlete in virtual spaces: a theoretical model for integrating VR and biometric data to redefine peak performance training

  • alzet Rama 
    Universitas Negeri Padang
    Indonesia
  • Wiki Lofandri
    Universitas Negeri Padang
    Indonesia
  • siti Fadillah Sallamah
    Universitas Negeri Padang
    Indonesia

Abstract

Artikel ini mengusulkan model teoretis inovatif untuk mengintegrasikan data biometrik atlet (seperti HRV, EEG, EMG) dengan data kinerja dari lingkungan Virtual Reality (VR) dalam sebuah sistem umpan balik tertutup (closed-loop). Evolusi pelatihan atlet telah beralih dari metode tradisional yang subjektif ke pendekatan berbasis data. Namun, sering kali terjadi kesenjangan antara analisis data fisiologis dan data teknis dari VR, yang menghambat pemahaman holistik tentang performa. Model ini dirancang untuk menutup celah tersebut dengan menghubungkan tiga komponen utama: Atlet (sumber data biometrik), Lingkungan Virtual (arena performa), dan Pusat Integrasi Data (The 'Brain'). Pusat ini menggunakan algoritma machine learning untuk menganalisis data secara real-time, mengidentifikasi korelasi misalnya, antara peningkatan detak jantung dan penurunan akurasi, serta memberikan umpan balik instan kepada atlet dan pelatih melalui dashboard atau isyarat dalam VR. Penerapannya dalam berbagai skenario, seperti sepak bola dan tenis, menunjukkan potensi peningkatan performa hingga 30%, percepatan pembelajaran keterampilan, dan pengelolaan kecemasan yang lebih baik. Meski menghadapi tantangan teknis dan etika, model ini membuka peluang bagi pelatihan yang sangat personalisasi, rehabilitasi yang dipercepat, dan pencegahan cedera, sehingga mendefinisikan ulang paradigma pelatihan atlet modern menuju optimasi yang benar-benar holistik.

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