Fusing data from inertial measurement units and a 3D camera for body tracking

Drobnjakovic, Filip; Douangpaseuth, Jeffrey B.; Gadea, Cristian; Haider, Meesam; Ionescu, Dan; Ionescu, Bogdan; Poon, Lucas

doi:10.1109/i2mtc.2018.8409754

Cited by 2 publications

(2 citation statements)

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“…While our results support the use of IMU for the measurement of sagittal plane knee kinematics across a range of ADL, we did not assess reliability during long recordings, for which orientation estimates may drift, and error can increase [ 42 ]. Additionally, we used embedded force plates (ground and instrumented staircase) to identify gait events which may affect IMU orientations due to electromagnetic interference [ 50 ]. Greater angular crosstalk due to more time spent in knee flexion compared to walking, and greater magnetic electromagnetic disturbance of the largely exposed instrumented staircase likely contributed to poorer results in the stair ascent and descent tasks.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, future studies may improve results in the frontal and transverse planes by utilising functional calibration tasks and using biplanar radiography to assess the frontal and transverse accuracy of IMU measured knee kinematics [ 51 ]. Estimation of knee kinematics may also be improved by combining IMUs with marker-less motion capture [ 52 ], body-worn cameras [ 50 ] or machine learning techniques [ 53 , 54 ], which have shown promising results in predicting human movement kinematics.…”

Section: Discussionmentioning

confidence: 99%

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Sagittal plane knee kinematics can be measured during activities of daily living following total knee arthroplasty with two IMU

Cornish,

Diamond,

Saxby

et al. 2024

PLoS ONE

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Knee function is rarely measured objectively during functional tasks following total knee arthroplasty. Inertial measurement units (IMU) can measure knee kinematics and range of motion (ROM) during dynamic activities and offer an easy-to-use system for knee function assessment post total knee arthroplasty. However, IMU must be validated against gold standard three-dimensional optical motion capture systems (OMC) across a range of tasks if they are to see widespread uptake. We computed knee rotations and ROM from commercial IMU sensor measurements during walking, squatting, sit-to-stand, stair ascent, and stair descent in 21 patients one-year post total knee arthroplasty using two methods: direct computation using segment orientations (r_IMU), and an IMU-driven iCloud-based interactive lower limb model (m_IMU). This cross-sectional study compared computed knee angles and ROM to a gold-standard OMC and inverse kinematics method using Pearson’s correlation coefficient (R) and root-mean-square-differences (RMSD). The r_IMU and m_IMU methods estimated sagittal plane knee angles with excellent correlation (>0.95) compared to OMC for walking, squatting, sit-to-stand, and stair-ascent, and very good correlation (>0.90) for stair descent. For squatting, sit-to-stand, and walking, the mean RMSD for r_IMU and m_IMU compared to OMC were <4 degrees, < 5 degrees, and <6 degrees, respectively but higher for stair ascent and descent (~12 degrees). Frontal and transverse plane knee kinematics estimated using r_IMU and m_IMU showed poor to moderate correlation compared to OMC. There were no differences in ROM measurements during squatting, sit-to-stand, and walking across the two methods. Thus, IMUs can measure sagittal plane knee angles and ROM with high accuracy for a variety of tasks and may be a useful in-clinic tool for objective assessment of knee function following total knee arthroplasty.

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Section: Discussionmentioning

confidence: 99%