Single IMU Displacement and Orientation Estimation of Human Center of Mass: A Magnetometer-Free Approach

Cardarelli, Stefano; Mengarelli, Alessandro; Tigrini, Andrea; Strazza, Annachiara; Nardo, Francesco Di; Fioretti, Sandro; Verdini, Federica

doi:10.1109/tim.2019.2962295

Cited by 27 publications

(22 citation statements)

References 45 publications

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“…Considering the SDI methods, in tasks with similar oscillation, our results were comparable to those obtained by Floor et al [ 34 ] and Cardarelli et al [ 35 ], but higher errors were found when compared to those by Myklebust et al [ 5 ].…”

Section: Discussionsupporting

confidence: 88%

“…A similar approach was applied in a study by Reenalda et al for the estimation of CoM dynamics in running marathons [ 6 ]. In 2020, Cardarelli et al suggested a magnetometer-free approach for the estimation of CoM human displacement and orientation, based on the strapdown integration method [ 35 ]. Since magnetic disturbances are a common phenomenon that can affect sensor orientation and increase the drift phenomenon, an orientation method with a variant of the Kalman filter, without magnetometer data, was adopted.…”

Section: Introductionmentioning

confidence: 99%

“…Despite the high interest in the use of wearable sensors for the measurements of human CoM dynamics, in most literature cases, the CoM assessment with inertial sensors was computed during dynamic tasks such as walking, running, or skiing, in which the CoM dynamics assumed large fluctuations in the 3D space [ 6 , 34 , 35 , 37 , 38 , 41 , 42 ]. Only a few studies verified the accuracy of IMU-based methods for the measurement of CoM trajectories during standing tasks [ 43 , 44 ].…”

Section: Introductionmentioning

confidence: 99%

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Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation

Germanotta

Mileti

Conforti

et al. 2021

Sensors

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The estimation of the body’s center of mass (CoM) trajectory is typically obtained using force platforms, or optoelectronic systems (OS), bounding the assessment inside a laboratory setting. The use of magneto-inertial measurement units (MIMUs) allows for more ecological evaluations, and previous studies proposed methods based on either a single sensor or a sensors’ network. In this study, we compared the accuracy of two methods based on MIMUs. Body CoM was estimated during six postural tasks performed by 15 healthy subjects, using data collected by a single sensor on the pelvis (Strapdown Integration Method, SDI), and seven sensors on the pelvis and lower limbs (Biomechanical Model, BM). The accuracy of the two methods was compared in terms of RMSE and estimation of posturographic parameters, using an OS as reference. The RMSE of the SDI was lower in tasks with little or no oscillations, while the BM outperformed in tasks with greater CoM displacement. Moreover, higher correlation coefficients were obtained between the posturographic parameters obtained with the BM and the OS. Our findings showed that the estimation of CoM displacement based on MIMU was reasonably accurate, and the use of the inertial sensors network methods should be preferred to estimate the kinematic parameters.

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Section: Discussionsupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation

Germanotta

Mileti

Conforti

et al. 2021

Sensors

View full text Add to dashboard Cite

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“…Some studies compare agreement between both systems mounting the sensor in a plate with a cluster of markers (four or five markers) [27][28][29]32]. In this case, the sensor moves with the marker, so differences measured by RMSE, SEM, and MDC were low.…”

Section: Discussionmentioning

confidence: 99%

“…The utility of IMU sensor-based technology for motion capture is progressing rapidly. Some studies compare agreement between motion capture systems, with good results [26][27][28][29]. IMU sensor-based systems have also been used not only to obtain kinematic data, but also kinetic estimation of the forces acting across joints and vertebrae [30].…”

Section: Introductionmentioning

confidence: 99%

Measuring Spinal Mobility Using an Inertial Measurement Unit System: A Validation Study in Axial Spondyloarthritis

et al. 2020

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Portable inertial measurement units (IMUs) are beginning to be used in human motion analysis. These devices can be useful for the evaluation of spinal mobility in individuals with axial spondyloarthritis (axSpA). The objectives of this study were to assess (a) concurrent criterion validity in individuals with axSpA by comparing spinal mobility measured by an IMU sensor-based system vs. optical motion capture as the reference standard; (b) discriminant validity comparing mobility with healthy volunteers; (c) construct validity by comparing mobility results with relevant outcome measures. A total of 70 participants with axSpA and 20 healthy controls were included. Individuals with axSpA completed function and activity questionnaires, and their mobility was measured using conventional metrology for axSpA, an optical motion capture system, and an IMU sensor-based system. The UCOASMI, a metrology index based on measures obtained by motion capture, and the IUCOASMI, the same index using IMU measures, were also calculated. Descriptive and inferential analyses were conducted to show the relationships between outcome measures. There was excellent agreement (ICC > 0.90) between both systems and a significant correlation between the IUCOASMI and conventional metrology (r = 0.91), activity (r = 0.40), function (r = 0.62), quality of life (r = 0.55) and structural change (r = 0.76). This study demonstrates the validity of an IMU system to evaluate spinal mobility in axSpA. These systems are more feasible than optical motion capture systems, and they could be useful in clinical practice.

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A Novel Center of Mass (CoM) Perception Approach for Lower-Limbs Stroke Rehabilitation

Liu

Zhou

et al. 2021

Social Robotics

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Single IMU Displacement and Orientation Estimation of Human Center of Mass: A Magnetometer-Free Approach

Cited by 27 publications

References 45 publications

Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation

Estimation of Human Center of Mass Position through the Inertial Sensors-Based Methods in Postural Tasks: An Accuracy Evaluation

Measuring Spinal Mobility Using an Inertial Measurement Unit System: A Validation Study in Axial Spondyloarthritis

A Novel Center of Mass (CoM) Perception Approach for Lower-Limbs Stroke Rehabilitation

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