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.

翻译：残障体育运动的训练资源有限，这减少了运动员和教练员参与特定运动动作和战术协调的机会。为弥补这一不足，我们开发了BRIDGE系统。该系统集成了一个重建流程与一个具身感知的可视化框架。重建流程通过检测和跟踪广播视频中的运动员来生成3D比赛序列；可视化框架则通过分解头部、躯干和轮椅底座的朝向，来表征运动员的注意力、意图和移动能力。我们通过两项对照研究对BRIDGE进行了评估，共有20名参与者（10名国家轮椅篮球队队员和10名业余运动员）。结果表明，BRIDGE显著提升了运动员姿态的感知自然度，并使战术意图更易于理解。此外，它通过真实传达运动员的能力来支持功能分级，进而增强了参与者的自我效能感。这项工作推动了包容性体育学习和无障碍教练实践的发展，有助于在残障体育运动中获得更公平的战术资源。