Abstract
In interaction with virtual objects, there is a latency. Without compensating this, it is impossible to synchronize movements of body and the virtual object. The conventional method to compensate for latency is prediction by using a filter, and most research has focused on prediction filter algorithms. On the other hand, this study focuses on the camera's frame rate. By increasing it, the latency after image capturing is reduced, and also the tracking ability of the prediction filter is improved. As a result, we improved the ability to predict body movements, and realized synchronization accuracy.
