Freezing of Gait Prediction Under Spatial Occlusion: An IMU-Supervised Cross-Modal Distillation Approach
A cross-modal subspace distillation framework to mitigate the limitations of unimodal FOG detection by combining IMU accuracy with video-based practicality is proposed and constrained optimisation confirms that highly precise FOG prediction bounds can be achieved over zero-wearable inference environments.