IMU Tracking of Kinematic Chains in the Absence of Gravitational and Magnetic Fields
Greg K. Stretton, George Alex Koulieris

TL;DR
This paper demonstrates that IMU-based tracking of kinematic chains can be effectively performed in microgravity environments without relying on gravity or magnetic fields, using a novel drift correction algorithm based on local accelerations.
Contribution
The authors introduce a new algorithm that compensates gyroscopic drift using local accelerations alone, enabling IMU tracking in space without gravity or magnetic references.
Findings
Dead-reckoning accuracy within 1 degree for 30 seconds
Drift correction reduces yaw error to within 3.3 degrees within 4 seconds
System effectively compensates gyroscopic drift using local accelerations in microgravity
Abstract
Tracking kinematic chains has many uses from healthcare to virtual reality. Inertial measurement units, IMUs, are well-recognised for their body tracking capabilities, however, existing solutions rely on gravity and often magnetic fields for drift correction. As humanity's presence in space increases, systems that don't rely on gravity or magnetism are required. We aim to demonstrate the viability of IMU body tracking in a microgravity environment by showing that gravity and magnetism are not necessary for correcting gyroscope-based dead-reckoning drift. We aim to build and evaluate an end-to-end solution accomplishing this. A novel algorithm is developed that compensates for drift using local accelerations alone, without needing gravity or magnetism. Custom PCB sensor, IMU, nodes are created and combined into a body-sensor-network to implement the algorithm and the system is evaluated…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSpacecraft Design and Technology · Inertial Sensor and Navigation
