Demo: Automatic Calibration of Magnetic Tracking

Abstract

Magnetic sensing is emerging as an enabler technology for various engaging applications. Representative use-cases include high-Accuracy posture tracking, human-machine interaction, haptic sensing, etc. This technology uses multiple MEMS magnetometers to capture the changing magnetic field at a close distance. However, magnetometers are susceptible to real-world disturbances, such as hard-and soft-iron effects. As a result, users need to perform a cumbersome and lengthy calibration process frequently, severely limiting the usability of magnetic tracking. We demonstrate MAGIC (MAGnetometer automatIc Calibration), a systematic framework to automatically calibrate both soft-and hard-iron disturbances for a MEMS magnetometer array. To minimize the need for users' intervention, we introduce a novel auto-Triggering module. Unlike the legacy manual calibration method, MAGIC achieves superior calibration performance (e.g., for tracking applications) with minimal users' attention.