XRGoalie: Augmenting the Future

Traditional soccer goalkeeper training is often limited by logistical, spatial, and safety constraints. The XRGoalie system presents a novel augmented reality (AR) solution that allows goalkeepers to train independently in realworld environments while facing virtual penalty kicks. XRGoalie creates a semi-immersive training environment that blends real and virtual elements interactively. Developed for the Meta Quest 3 headset using Unreal Engine 5.4, the system overlays a virtual kicker and ball onto the user’s field of view, enabling interactive, spatially aware saves using hand-tracking and gesture-based control. This paper outlines the technical and systems-level design of XRGoalie, including subsystem integration, spline-based shot simulation, and spatial anchoring for user safety. User feedback from collegiate coaches and goalkeepers demonstrates the system’s potential for realistic, accessible, and cognitive-focused training. XRGoalie aims to complement, rather than replace, traditional methods, offering a scalable, low-risk alternative for enhancing reaction time and decision-making in goalkeepers.

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Publication Details

Published
2025-05-02
DOI
https://doi.org/10.1109/sieds65500.2025.11021150
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
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article

XRGoalie: Augmenting the Future

Mark A. Jupina, Owen C. Webster, Brian A. Zisk, Liam M. Baker et al.
Distributed and Parallel Computing Systems
article

XRGoalie: Augmenting the Future

Mark A. Jupina, Owen C. Webster, Brian A. Zisk, Liam M. Baker, Alex W. Fink
article en

Abstract

Traditional soccer goalkeeper training is often limited by logistical, spatial, and safety constraints. The XRGoalie system presents a novel augmented reality (AR) solution that allows goalkeepers to train independently in realworld environments while facing virtual penalty kicks. XRGoalie creates a semi-immersive training environment that blends real and virtual elements interactively. Developed for the Meta Quest 3 headset using Unreal Engine 5.4, the system overlays a virtual kicker and ball onto the user’s field of view, enabling interactive, spatially aware saves using hand-tracking and gesture-based control. This paper outlines the technical and systems-level design of XRGoalie, including subsystem integration, spline-based shot simulation, and spatial anchoring for user safety. User feedback from collegiate coaches and goalkeepers demonstrates the system’s potential for realistic, accessible, and cognitive-focused training. XRGoalie aims to complement, rather than replace, traditional methods, offering a scalable, low-risk alternative for enhancing reaction time and decision-making in goalkeepers.

Villanova University (US)
Openalex Percentile: Top 87%
Distributed and Parallel Computing Systems
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XRGoalie: Augmenting the Future — Mark A. Jupina, Owen C. Webster, et al. · (2025) | TGRS Research Map | TGRS