Adaptive Event-Triggered Control of Virtual Player for Social Motor Coordination in Joint actions

In this work, an adaptive event-triggered control approach is developed for a virtual player (VP) to generate the human-like trajectories in the mirror game, a simple yet effective paradigm for studying interpersonal coordination. By taking into account individual motor signature, an online control algorithm is designed to produce joint improvised motions with a human player or another virtual player while exhibiting some desired kinematic characteristics. In the proposed control algorithm, the control actions can be adaptively switched according to the movement status of participants. Moreover, stability analysis of the VP model driven by the feedback controller is conducted. Finally, the proposed control approach is validated by matching the experimental data.