Bridging the Visual-to-Physical Gap: Physically Aligned Representations for Fall Risk Analysis

ArXi:2603.13410v1 Announce Type: cross Vision-based fall analysis has advanced rapidly, but a key bottleneck remains: visually similarmotions can correspond to very different physical outcomes because small differences in contactmechanics and protective responses are hard to infer from appearance alone. Most existingapproaches handle this by supervised injury prediction, which depends on reliable injury labels.