Multi-User Touch Trajectory Matching With Deferred Acceptance

The patent applies preliminary action by predicting the next touch point position based on the current touch trajectory before actual touch detection occurs. This prediction is made in advance for multiple users simultaneously, creating a reference framework that guides subsequent touch point association, thereby improving accuracy without requiring complex real-time differentiation processes

The patent implements feedback through an iterative association process where touch points from current frames are matched with predicted touch points from previous frames. The system continuously refines the matching based on spatial proximity and temporal continuity, adjusting associations until optimal pairing is achieved, thus enhancing measurement precision through iterative refinement

The patent applies segmentation by separating touch points into distinct sequences for different users based on spatial proximity and temporal continuity. Instead of treating all touch points uniformly, the system divides them into user-specific trajectories by matching predicted positions with actual detections, allowing accurate identification even when multiple users interact simultaneously

The patent implements dynamics by making the touch point association process adaptive rather than static. The system dynamically adjusts the association criteria based on real-time touch positions, velocities, and predicted trajectories, allowing flexible differentiation between users whose touch paths may overlap or intersect, thus maintaining high reliability without fixed computational constraints