Recently, MEMS inertial sensors have been recognized as valuable components for tracking body parts and objects in many applications including the development of realistic virtual reality simulations. We propose to optimize low cost MEMS inertial sensors to capture the relativity low bandwidth of human dynamics. Laser trimming of vibrating sensor elements can enhance the signal level by an order of magnitude for band limited motion, proportionally reducing electronics errors and allowing mass produced sensors to be used for demanding augmented reality applications. All inertial sensors measure rates of change, so eventually have to be calibrated with direct angular and positional measurements. Rather than rediscover optimal sensor fusion, in this project we apply knowledge developed by the guided missile and inertial navigation communities. For latency correction, we will use GINI, a COTS computer code developed for tightly coupled, GPS/Inertial Navigation system integration. The new AHRS grade Endevco Micromachined Accelerometer Gyro (MAG), and a Systron Donnor QRS will be analyzed in this new inertially aided tracker with optimal prediction capability.
