Evaluation of Optimization Strategies for Synchronization of Fine Motor Movements in Distributed Real-Time Systems

Abstract

With the growing demand for real-time collaboration in distributed immersive environments, e.g. in mechanical engineering or health care, a need for synchronisation of user's fine motor movements is gaining significance. This paper presents the evaluation of several popular optimization strategies for synchronization of fine motor movements. The evaluation was performed using a dedicated simulation software which recorded several network metrics and transformation errors. Fine motorics included hand and finger movements, which were recorded using the finger tracking system Leap Motion. It was shown that a combination of Cubic Hermite Spline Interpolation for spatial positions and Squad Interpolation for spatial rotations with Local Lag for time synchronization provided the smallest average position error among all clients at a 10 Hz tick rate.