2006 Volume 11 Issue 4 Pages 459-467
This paper deals with a remote instruction system by which an instructor trains a learner how to draw pictures or figures while conveying the sense of force through a network. In the system, we introduce media synchronization control with prediction as Quality of Service (QoS) control and examine the influences of network delay, delay jitter and packet loss on the quality of haptic media synchronization by subjective assessment. As a result, we show the effectiveness of the Virtual-Time Rendering (VTR) media synchronization algorithm with prediction. We also demonstrate that the Mean Opinion Score (MOS) value at the instructor's terminal is smaller than that at the learner's terminal. Furthermore, we show that the MOS value can be estimated with high accuracy from the summation of the network delay from an instructor's terminal to a learner's terminal and that in the opposite direction.
