Authors : SuthanthiraVanitha N. , M. Mani and V. Palanisamy
Abstract: This study demonstrates the new technology that overcomes the limitations of motion tracking technologies currently in use. The technology is capable of providing wide area tracking of multiple users for synthetic environment and augment reality applications. This system makes a significant step toward total immersion of users in a networked synthetic environment by allowing them to interface with it using their natural bodies. Orientation can be determined without the aid of a generated source using nine axis Magnetic, Angular Rate and Gravity sensor unit containing three orthogonally mounted angular rate sensors, three orthogonal accelerometers and three orthogonal magnetometers. Primarily this study involves the development of a prototype MARG Sensors tracking system including innovative calibration and angle tracking software. An examination of this implementation demonstrates the feasibility of a hybrid motion tracking system for networked synthetic environments. Mathematical analysis, a computer simulation and physical experiments are used to validate the correctness of the complementary filter algorithm as well as human body model. Experimental results show the effectiveness of the tracking system.
SuthanthiraVanitha N. , M. Mani and V. Palanisamy , 2006. Magnetic and Inertial Orientation Tracking for Inserting Humans into Networked Synthetic Environment. International Journal of Soft Computing, 1: 271-278.