Gravity-Based Characterization of Three-Axis Accelerometers in Terms of Intrinsic Accelerometer Parameters

Geist, Jon; Afridi, Muhammad Y.; McGray, Craig D.; Gaitan, Michael

doi:10.6028/jres.122.032

Cited by 14 publications

(12 citation statements)

References 5 publications

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“…The most widespread approach, when an accelerometer is used as an inclinometer, is to remove the horizontal accelerations from the signal by means of low-pass filtering [23], [24]. Several authors validate this solution under the assumption that the horizontal acceleration is sufficiently small in comparison to the gravity [25], [26]. In fact, in a quiet standing experiments, such as in those for human balance evaluation, the horizontal acceleration is always lower than the gravitational acceleration.…”

Section: Methods and Experimentsmentioning

confidence: 99%

Standing Balance Assessment by Measurement of Body Center of Gravity Using Smartphones

et al. 2020

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Assessment of balance by means of posturographic analysis is frequently used in the clinical practice for evaluating the risk of falls or as an indicator of balance-related disorders. The development of automatic, affordable and accurate systems for gauging balance capabilities in the elderly is deemed a crucial step towards the adoption of prevention strategies and the reduction of associated social costs, especially in a context of growing average age of population. In this article we propose to exploit signals that can be collected from sensors on board of common consumer-grade smartphones for posturographic analysis. To this aim, we introduce several processing algorithms for extracting useful information from the acceleration data streams, and we also present an assessment framework based on the comparison of the trajectory of the body center of gravity, estimated from embedded triaxial accelerometers, with a homologous counterpart, estimated from the reference plate force, thus adding to the consistency of the whole process. Experimental results confirm the effectiveness of the proposed system in terms of its capability of achieving signals and posturographic features which agree with those obtained by means of balance board platforms, potentially opening the way to novel research studies and applications of mobile technology in this field.

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Section: Methods and Experimentsmentioning

confidence: 99%

Standing Balance Assessment by Measurement of Body Center of Gravity Using Smartphones

et al. 2020

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“…The analysis given here is based on an earlier paper [ 5 ] devoted only to the theory of the intrinsic properties but employs a simplified notation. Consider a triaxial accelerometer DUT whose accelerometers are labeled ( U , V , W ).…”

Section: Intrinsic Properties Modelmentioning

confidence: 99%

“…The sensitivity matrix is usually desired in a calibration, but we find that rotational misalignment will lead to added uncertainty in such a calibration for laboratory comparisons. To address the issue, we proposed the use of an intrinsic properties approach for laboratory comparisons [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

Reduction of calibration uncertainty due to mounting of three-axis accelerometers using the intrinsic properties model

2021

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We show that the calibration of tri-axis accelerometers based on the device’s intrinsic properties alleviates the uncertainty due to mounting misalignment in comparison to the use of the sensitivity matrix. The intrinsic properties of a tri-axis accelerometer are based on a (u, v, w) coordinate system that represent the direction of maximum sensitivities of each of the three accelerometers (U, V, W) and are assumed not to be perfectly orthogonal to each other. The calibration procedure requires rotation of the device in the gravitational field around each of the Cartesian coordinate (x, y, z) axes. One component in driving down the uncertainty of laboratory comparisons and calibration repeats relates to misalignment in mounting the device onto the calibration instrument. We show that the uncertainty of the cross-axis terms of the sensitivity matrix is a dominating factor affecting uncertainty down to a 0.01° misalignment at a 100 µV noise level. The misalignment component can be exacerbated when calibrating modern microelectromechanical systems (MEMS)-based accelerometers, which are typically a few millimeters in dimension.

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“…Low-frequency vibration measurements are of great interest in many different fields such as, for instance, energy production (Ripper et al, 2017), structural health monitoring (SHM) of buildings and of civil infrastructures (Sabato et al, 2017;Ranieri et al, 2013), and geotechnical applications (Czech and Gosk, 2017) in the field of human vibration and bio-dynamics (Griffin, 2014), mainly because of the increasing development of MEMS embedded in mobile devices (Halim and Park, 2013) and in applications in the field of the Internet of Things (IoT) (Borgia, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Rohac et al (2015) propose a method for calibration of MEMS tri-axial inertial sensors, using a gravity-based calibration method under static conditions. Geist et al (2017) propose a methodology based on the linearization, used for the reduction of the measurement error of the device. The optimization algorithm is validated on an experimental set-up, considering the accelerometer in static state, and rotating it randomly in 30 different orientations.…”

Section: Introductionmentioning

confidence: 99%

Calibration of tri-axial MEMS accelerometers in the low-frequency range – Part 1: comparison among methods

D’Emilia

Gaspari

Mazzoleni

et al. 2018

J. Sens. Sens. Syst.

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Abstract. Two alternative experimental procedures for the calibration of tri-axial accelerometers have been compared with traditional methods, performed according the procedures stated in the standard ISO 16063-21. Standard calibration is carried out by comparison with a laser Doppler vibrometer (LDV), used as a primary reference transducer. The main sensitivities have been investigated and, where applicable, also transverse ones. Many aspects have been evaluated: the hypotheses about transverse sensitivities, the simplicity of the procedure, the number of measurements needed, and the effect of typology of transducer, depending on electrical and geometrical contributions. Two different accelerometers have been tested, a piezo-electric accelerometer and a capacitive MEMS accelerometer. A low-frequency range of vibration has been investigated, 3 and 6 Hz, with amplitude of acceleration ranging from 2 to 20 ms−2. A satisfactory reproducibility of methods has been verified, with percentage differences less than 2.5 %. Anyway, pros and cons of each method are also discussed with reference to their possible use for easy and quick calibration of low-cost tri-axial accelerometers.

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Gravity-Based Characterization of Three-Axis Accelerometers in Terms of Intrinsic Accelerometer Parameters

Cited by 14 publications

References 5 publications

Standing Balance Assessment by Measurement of Body Center of Gravity Using Smartphones

Standing Balance Assessment by Measurement of Body Center of Gravity Using Smartphones

Reduction of calibration uncertainty due to mounting of three-axis accelerometers using the intrinsic properties model

Calibration of tri-axial MEMS accelerometers in the low-frequency range – Part 1: comparison among methods

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