Differentiating post-stroke patients from healthy individuals via vision-based skeleton-optical fusion

It was found that optical flow information calculated based on skeleton points, combined with variations in knee flexion and ankle dorsiflexion angles, improved the interpretability of the analytical framework. This improvement enables clinicians to gain a clearer understanding of the model's decision-making process, thereby increasing their confidence in its outputs. By employing a multi-modal fusion approach, information from different modalities is integrated, which not only broadens the analytical perspectives but also facilitates clinicians' deeper insights into the patient's gait characteristics.