Inertial Sensor Error Reduction through Calibration and Sensor Fusion

Sensors
Stefan LambrechtJosé L Pons

Abstract

This paper presents the comparison between cooperative and local Kalman Filters (KF) for estimating the absolute segment angle, under two calibration conditions. A simplified calibration, that can be replicated in most laboratories; and a complex calibration, similar to that applied by commercial vendors. The cooperative filters use information from either all inertial sensors attached to the body, Matricial KF; or use information from the inertial sensors and the potentiometers of an exoskeleton, Markovian KF. A one minute walking trial of a subject walking with a 6-DoF exoskeleton was used to assess the absolute segment angle of the trunk, thigh, shank, and foot. The results indicate that regardless of the segment and filter applied, the more complex calibration always results in a significantly better performance compared to the simplified calibration. The interaction between filter and calibration suggests that when the quality of the calibration is unknown the Markovian KF is recommended. Applying the complex calibration, the Matricial and Markovian KF perform similarly, with average RMSE below 1.22 degrees. Cooperative KFs perform better or at least equally good as Local KF, we therefore recommend to use cooperative KFs i...Continue Reading

References

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Citations

May 18, 2017·Biomedical Engineering Online·Samuel L NogueiraJose L Pons
Oct 13, 2018·European Journal of Physical and Rehabilitation Medicine·Federica PetragliaCosimo Costantino

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Software Mentioned

Matlab
custom
SPSS
SPSS Statistics

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