´Visual-fidelity´ dataglove calibration

This paper presents a novel calibration method for data-gloves with many degrees of freedom. The goal of our method is to establish a mapping from the sensor values of the glove to the joint angles of an articulated hand that is of ´high visual´ fidelity. This is in contrast to previous methods that aim at determining the absolute values of the real joint angles with high accuracy. The advantage of our method is that it can be simply carried through without the need for auxiliary calibration hardware (such as cameras), while still producing visually correct mappings. To achieve this, we developed a method that explicitly models the cross-couplings of the abduction sensors with the neighboring flex sensors. The results show that our method performs superior to linear calibration in most cases