Abstract

Electromagnetic positioning systems are now widely used in virtual reality technology and their accuracy directly affects the interaction process which suffers from the distortions of the electromagnetic field used in calculating the tracker sensor's position. The calibration process of the electromagnetic positioning system mainly compensates and eliminates the static error, and relates to the equipment and the environment around the electromagnetic positioning system. The equipment used in the experiment was Pholhemus's 3SPACE FASTRAK, which was used in a training system. In this paper, taking into account factors such as algorithm complexity and predictability, second-order polynomial fitting and third-order polynomial fitting algorithms are used to compensate for position and orientation errors of the sensor. Experimental and simulation results show that the third-order polynomial fitting has greatly improved the position and direction accuracy.

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