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An architecture for immersive evaluation of complex human tasks

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4 Author(s)
Molet, T. ; Comput. Graphics Lab., Fed. Inst. of Technol., Lausanne, Switzerland ; Boulic, R. ; Rezzonico, S. ; Thalmann, D.

We investigate how the movement measurement technologies developed for virtual 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 beings. We present a full body movement measurement approach. It provides a realistic conversion in real-time with a reasonable number of sensors. Associated with the hand movement measurement and correction algorithms we provide a pertinent visual and vibrotactile feedback to the performer

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Robotics and Automation, IEEE Transactions on  (Volume:15 ,  Issue: 3 )