Advanced hybrid tracking through neural network regression

International audienceWe present an optical-haptic tracking system suitable for augmented and virtual reality applications. The paper addresses tow issues of such system. The first one concerns the calibration method that can be used to calibrate the force feedback device: SPIDAR. The second contribution is about the development of a hybrid tracking system. The proposed hybridization aims to provide both accurate and interrupted position data

SPIDAR Calibration based on neural networks versus optical tracking

International audienceThis paper aims to present all the study done on the SPIDAR tracking and haptic device, in order to improve accuracy on the given position. Firstly we proposed a new semi-automatic initialization technique for this device using an optical tracking system. We also propose an innovative way to perfom calibration of 3D tracking device using virtual reality. Then, we used a two-layered feedforward neural network to reduce the location errors. We obtained very good results with this calibration, since we reduced the mean error by more than 50%