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Assessing the Impact of Sensor Orientation on Accelerometer-Derived Angles: A Systematic Analysis and Proposed Error Reduction.

McClintock, F. A., Callaway, A. J., Clark, C. J. and Williams, J. M., 2024. Assessing the Impact of Sensor Orientation on Accelerometer-Derived Angles: A Systematic Analysis and Proposed Error Reduction. Applied Sciences, 14 (2), 842.

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DOI: 10.3390/app14020842

Abstract

Accelerometers have been widely used for motion analysis. The effect of initial sensor orientation (ISO) on the derived range of motion (ROM) is currently unexplored, limiting clarity in understanding error. This two-step study systematically explored the effect of ISO on the error of accelerometer-derived range of motion (ROM) and the effect of a proposed correction algorithm. Accelerometer data were used to compute peak and through-range ROM across a range of ISO and movement angular velocities up to 148° s−1 compared to an optoelectronic gold-standard. Step 1 demonstrated that error increased linearly with increasing ISO offsets and angular velocity. Average peak ROM RMSE at an ISO of 20° tilt and twist was 5.9° for sagittal motion, and for an ISO of 50° pitch and 20° twist, it was 7.5° for frontal plane ROM. Through-range RMSE demonstrated errors of 7–8° for similar ISOs. Predictive modeling estimated a 3.2° and 3.7° increase in peak and through-range sagittal plane error for every 10° increase in tilt and twist ISO. Step 2 demonstrated error reduction utilizing mathematical correction for ISO, resulting in <1° mean peak error and <1.2° mean through-range ROM error regardless of ISO. Accelerometers can be used to measure cardinal plane joint angles, but initial orientation is a source of error unless corrected.

Item Type:Article
ISSN:2076-3417
Additional Information:Special issue: Research on Biomechanics, Motor Control and Learning of Human Movements
Data available from BORDaR:https://doi.org/10.18746/bmth.data.00000342
Uncontrolled Keywords:accelerometers; human motion; joint angle; motion analysis; sensors
Group:Faculty of Health & Social Sciences
ID Code:39494
Deposited By: Symplectic RT2
Deposited On:07 Feb 2024 09:30
Last Modified:12 Mar 2024 13:17

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