BRIDGE: Borderless Reconfiguration for Inclusive and Diverse Gameplay Experience via Embodiment Transformation

TL;DR

BRIDGE is a system that reconstructs and visualizes 3D parasports gameplay from broadcast videos, enhancing understanding and inclusivity for athletes and coaches with diverse abilities.

Contribution

It introduces a novel reconstruction and embodiment-aware visualization framework that improves accessibility and tactical comprehension in parasports.

Findings

Significantly increased perceived naturalness of player postures.

Made tactical intentions easier to understand.

Supported functional classification and improved self-efficacy.

Abstract

Training resources for parasports are limited, reducing opportunities for athletes and coaches to engage with sport-specific movements and tactical coordination. To address this gap, we developed BRIDGE, a system that integrates a reconstruction pipeline, which detects and tracks players from broadcast video to generate 3D play sequences, with an embodiment-aware visualization framework that decomposes head, trunk, and wheelchair base orientations to represent attention, intent, and mobility. We evaluated BRIDGE in two controlled studies with 20 participants (10 national wheelchair basketball team players and 10 amateur players). The results showed that BRIDGE significantly enhanced the perceived naturalness of player postures and made tactical intentions easier to understand. In addition, it supported functional classification by realistically conveying players' capabilities, which in turn improved participants' sense of self-efficacy. This work advances inclusive sports learning and accessible coaching practices, contributing to more equitable access to tactical resources in parasports.