Inertial measurement unit-based pose estimation: Analyzing and reducing sensitivity to sensor placement and body measures

Author:

Kianifar Rezvan1ORCID,Joukov Vladimir1,Lee Alexander2,Raina Sachin2,Kulić Dana1

Affiliation:

1. Electrical and Computer Engineering Department, University of Waterloo, Waterloo, ON, Canada

2. MSK Metrics, Mississauga, Canada

Abstract

Introduction Inertial measurement units have been proposed for automated pose estimation and exercise monitoring in clinical settings. However, many existing methods assume an extensive calibration procedure, which may not be realizable in clinical practice. In this study, an inertial measurement unit-based pose estimation method using extended Kalman filter and kinematic chain modeling is adapted for lower body pose estimation during clinical mobility tests such as the single leg squat, and the sensitivity to parameter calibration is investigated. Methods The sensitivity of pose estimation accuracy to each of the kinematic model and sensor placement parameters was analyzed. Sensitivity analysis results suggested that accurate extraction of inertial measurement unit orientation on the body is a key factor in improving the accuracy. Hence, a simple calibration protocol was proposed to reach a better approximation for inertial measurement unit orientation. Results After applying the protocol, the ankle, knee, and hip joint angle errors improved to [Formula: see text], and [Formula: see text], without the need for any other calibration. Conclusions Only a small subset of kinematic and sensor parameters contribute significantly to pose estimation accuracy when using body worn inertial sensors. A simple calibration procedure identifying the inertial measurement unit orientation on the body can provide good pose estimation performance.

Funder

Natural Sciences and Engineering Research Council of Canada

MSK Metrics

Publisher

SAGE Publications

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