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Inertial Sensor Characterization for Inertial Navigation and Human Motion Tracking Applications

Authors: Landry, Leslie M.;

Inertial Sensor Characterization for Inertial Navigation and Human Motion Tracking Applications

Abstract

Micro-electro-mechanical systems (MEMS) inertial sensors are commonly used in applications such as inertial navigation or human motion tracking. These inertial sensors provide three-dimensional (3D) orientation, acceleration, rate of turn, and magnetic field information. Manufacturers specify both static and dynamic accuracy for the 3D orientation output of MEMS inertial sensors. The dynamic accuracy is in the form of a root-mean-square (RMS) error and is only valid for certain motions, which are not specified. In this thesis, an investigation of the dynamic accuracy of the Xsens Motion Tracker (MTx) inertial sensor was conducted. The yaw or heading dynamic accuracy of the Microstrain DM3-GX3 inertial sensor was also investigated. A pendulum test apparatus from a previous work was used to test the MTx and GX3. An encoder is installed to the pendulum axis of rotation and provides the reference data needed to calculate the dynamic accuracy of the MTx and GX3. After a series of motion tests, it was concluded that the MTx was within manufacturer specifications for static accuracy but not for dynamic accuracy. More specifically, the heading or yaw accuracy of the MTx and GX3 did not meet manufacturer specifications under the testing motions chosen in this study.

http://archive.org/details/inertialsensorch109457373

Ensign, United States Navy

Keywords

MEMS, Microstrain, Micro-electro-mechanical systems, Xsens, human motion tracking, MTx, dynamic accuracy, 3DM-GX3-25

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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