An architecture for immersive evaluation of complex human tasks

We investigate how the movement measurement technologies developed for virt ual reality applications can be applied to track in real-time the full body posture of a human being. The accuracy of this information is of definite importance to evaluate the feasibility of complex tasks involving human bei ngs. We present a full body movement measurement approach. It provides a re alistic conversion in real-time with a reasonable number of sensors. Associ ated with the hand movement measurement and correction algorithms we provid e a pertinent visual and vibrotactile feedback to the performer.