Towards Modeling Human Arm Movement in a CVE

Although Collaborative Virtual Environments share many characteristics in common with first person 3D games, CVEs strive for a deeper level of immersion by networking together individuals with more natural input devices. More complex input devices such as data gloves and positional trackers have additional processing delay and when compounded with network delay can cause CVE applications to lag and become jerky. The purpose of this experiment was to measure and model typical movements from users utilizing data gloves and positional trackers so that algorithms can be designed to help combat the inherent delay and jitter in a CVE. Most movements studied were shown to have a rough Gaussian shaped speed profile, but intricate manipulative movements exhibited greater peaks and valleys than typical reaching movement.