Research of controlling magnetic force trackers'' mutual interference in an augmented reality system
增强现实系统中磁力跟踪器互干扰抑制的研究

With tracing region enlarged, an augmented reality system, which uses magnetic force tracker to realize tracing, need more magnetic force trackers. But their transmitters are very close to each other, it leads to mutual interference and virtual object in helmet vibrating obviously. According to the moving characteristics of head and hand while interacting, different methods are designed and applied to control the mutual interference. To the interference of tracing hand, particle filter is adopted. To the interference of tracing head, Kalman filter is used only when it holds still. While moving slowly, the improved intrinsic 3D discreet Curve smoothing algorithm is used. Compared with old algorithm, this improved algorithm can deal with dynamic data using an approaching-real-time model and remove of interference to Euler Angle using bilateral filtering. While head moves quickly, filter is stopped. Furthermore, the critical damping is applied to avoid jumping while entering the quick state. The results show that the mutual interference is reduced significantly by using these methods.