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      An IMU Evaluation Method Using a Signal Grafting Scheme

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          Abstract

          As various inertial measurement units (IMUs) from different manufacturers appear every year, it is not affordable to evaluate every IMU through tests. Therefore, this paper presents an IMU evaluation method by grafting data from the tested IMU to the reference data from a higher-grade IMU. The signal grafting (SG) method has several benefits: (a) only one set of field tests with a higher-grade IMU is needed, and can be used to evaluate numerous IMUs. Thus, SG is effective and economic because all data from the tested IMU is collected in the lab; (b) it is a general approach to compare navigation performances of various IMUs by using the same reference data; and, finally, (c) through SG, one can first evaluate an IMU in the lab, and then decide whether to further test it. Moreover, this paper verified the validity of SG to both medium- and low-grade IMUs, and presents and compared two SG strategies, i.e., the basic-error strategy and the full-error strategy. SG provided results similar to field tests, with a difference of under 5% and 19.4%–26.7% for tested tactical-grade and MEMS IMUs. Meanwhile, it was found that dynamic IMU errors were essential to guarantee the effect of the SG method.

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          Most cited references34

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          Performance Evaluation of Smartphone Inertial Sensors Measurement for Range of Motion

          Over the years, smartphones have become tools for scientific and clinical research. They can, for instance, be used to assess range of motion and joint angle measurement. In this paper, our aim was to determine if smartphones are reliable and accurate enough for clinical motion research. This work proposes an evaluation of different smartphone sensors performance and different manufacturer algorithm performances with the comparison to the gold standard, an industrial robotic arm with an actual standard use inertial motion unit in clinical measurement, an Xsens product. Both dynamic and static protocols were used to perform these comparisons. Root Mean Square (RMS) mean values results for static protocol are under 0.3° for the different smartphones. RMS mean values results for dynamic protocol are more prone to bias induced by Euler angle representation. Statistical results prove that there are no filter effect on results for both protocols and no hardware effect. Smartphones performance can be compared to the Xsens gold standard for clinical research.
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            Fundamentals Of High Accuracy Inertial Navigation

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              Principles of GNSS, Inertial, and Multi-Sensor Integrated Navigation Systems

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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                10 June 2016
                June 2016
                : 16
                : 6
                : 854
                Affiliations
                [1 ]GNSS Research Center, Wuhan University, No.129, Luoyu Road, Wuhan 430079, China; xjniu@ 123456whu.edu.cn (X.N.); wang_qiang@ 123456whu.edu.cn (Q.W.); liyou331@ 123456gmail.com (Y.L.); zhangquan@ 123456whu.edu.cn (Q.Z.)
                [2 ]Department of Geomatics Engineering, University of Calgary, Calgary, AB T2N1N4, Canada
                [3 ]Collaborative Innovation Center for Geospatial Information Technology, Wuhan University, No.129, Luoyu Road, Wuhan 430079, China
                Author notes
                [* ]Correspondence: jiangp@ 123456whu.edu.cn ; Tel.: +86-27-6877-8971
                Article
                sensors-16-00854
                10.3390/s16060854
                4934280
                27294932
                2308f1c6-7992-4d66-8e56-7eb1a2127423
                © 2016 by the authors; licensee MDPI, Basel, Switzerland.

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 16 March 2016
                : 03 June 2016
                Categories
                Article

                Biomedical engineering
                signal grafting,performance evaluation,inertial measurement units,hybrid simulation,navigation,field testing

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