SPIDAR calibration based on regression methods

Abstract

International audienceIn order to obtain accurate position estimation, it is imperative that the SPIDAR, a haptic interface device, is properly calibrated. The driving idea of this work is to derive easy-to-use calibration algorithms that can be used to calibrate our haptic device and to add therefore adaptability to the system behavior. We make use of regression methods and we obtain calibration algorithms as a solution to SPIDAR inaccuracy. The efficacy of the proposed methods is illustrated using experimental data collected from a sensor platform

Improved Tracking Using a Hybrid Optcial-Haptic Three-Dimensional Tracking System

“…This device was used in virtual reality to track and measure motion of user's hand as well as to enable large scale immersion. Unfortunately, previous experiments with Scalable-SPIDAR [2] have revealed significant inaccuracies between caused by design structure shortcomings.…”