Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation

Roetenberg, D.; Luinge, Hendrik J.; Baten, Christian T.M.; Veltink, Petrus H.

doi:10.1109/tnsre.2005.847353

Cited by 499 publications

(346 citation statements)

References 28 publications

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“…Thus, the system performance presented here is for a best-case scenario. In the field, system performance might drop due to prolonged magnetic disturbances (Roetenberg et al, 2005). However, as long as the subject keeps moving, the MVN software can make use of its Kinematic Coupling (KiC TM ) algorithm, which makes the lower body segments (that are mainly exposed to strong magnetic fields due to metal in the floor) insensitive to magnetic disturbances (Roetenberg et al, 2013).…”

Section: Limitationsmentioning

confidence: 99%

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Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system

Faber

Chang

Kingma

et al. 2016

Journal of Biomechanics

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a b s t r a c tInertial motion capture (IMC) systems have become increasingly popular for ambulatory movement analysis. However, few studies have attempted to use these measurement techniques to estimate kinetic variables, such as joint moments and ground reaction forces (GRFs).Therefore, we investigated the performance of a full-body ambulatory IMC system in estimating 3D L5/S1 moments and GRFs during symmetric, asymmetric and fast trunk bending, performed by nine male participants. Using an ambulatory IMC system (Xsens/MVN), L5/S1 moments were estimated based on the upper-body segment kinematics using a top-down inverse dynamics analysis, and GRFs were estimated based on full-body segment accelerations.As a reference, a laboratory measurement system was utilized: GRFs were measured with Kistler force plates (FPs), and L5/S1 moments were calculated using a bottom-up inverse dynamics model based on FP data and lower-body kinematics measured with an optical motion capture system (OMC). Correspondence between the OMCþ FP and IMC systems was quantified by calculating root-mean-square errors (RMSerrors) of moment/force time series and the interclass correlation (ICC) of the absolute peak moments/forces.Averaged over subjects, L5/S1 moment RMSerrors remained below 10 Nm (about 5% of the peak extension moment) and 3D GRF RMSerrors remained below 20 N (about 2% of the peak vertical force). ICCs were high for the peak L5/S1 extension moment (0.971) and vertical GRF (0.998). Due to lower amplitudes, smaller ICCs were found for the peak asymmetric L5/S1 moments (0.690-0.781) and horizontal GRFs (0.559-0.948).In conclusion, close correspondence was found between the ambulatory IMC-based and laboratory-based estimates of back load.

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Section: Limitationsmentioning

confidence: 99%

“…Many studies have shown the validity of the IMC system for measurement of kinematics (Cutti et al, 2008;Faber et al, 2013b;Godwin et al, 2009;Luinge and Veltink, 2005;Plamondon et al, 2007;Roetenberg et al, 2005). However, the number of studies testing the validity of the system for the assessment of the kinetics (e.g.…”

Section: Introductionmentioning

confidence: 99%

Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system

Faber

Chang

Kingma

et al. 2016

Journal of Biomechanics

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“…Usually such systems uses mathematical filters such as Kalman filter to compensate the drift of the gyroscope 12,13 . They use a model that predicts the rotation based on tri-axial accelerometers and then refresh the gyroscope to cancel the drift.…”

Section: Discussionmentioning

confidence: 99%

Reducing Shoulder Injuries among Construction Workers

Alwasel¹,

El-Rayes²,

Abdel‐Rahman³

et al. 2012

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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“…An important recent development is the fusing of data from diVerent sensor types. Using new signal processing algorithms , and hybrid sensors, consisting of accelerometers, gyroscopes (Favre 2006) and accelerometers, gyroscopes magnetometers (Roetenberg et al 2005), some disadvantages of individual sensor types can be overcome. The fusing approach allows a BFS based analysis of joint movements and segment movements in an inertial frame of reference.…”

Section: Main Types Of Body Wxed Sensorsmentioning

confidence: 99%

Mobility assessment in older people: new possibilities and challenges

2007

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A major challenge for researchers and clinicians who address health issues in the ageing population is to monitor functioning, and to timely initiate interventions that aim to prevent loss of functional abilities and to improve the quality of life of older people. With the progress of technologies in the last decades, methods have become available that use body Wxed sensors (BFS) to measure aspects of human performance under real-life conditions. These methods are based on the use of miniaturised and integrated sensors in combination with lightweight, small measuring devices that both can be carried on the body without interfering with normal behaviour. This paper addresses the potential relevance of new technology for monitoring motor function in older people, thereby speciWcally focusing on mobility assessment. After a short introduction with background information about BFS based technology, this paper identiWes areas of particular relevance, and discusses the application of ambulatory techniques for long-term monitoring of daily physical activity, fall detectors, fall risk evaluation, and assessment of motor performance such as gait and balance control. Examples are given how these techniques can become clinically relevant, particularly in the context of fall interventions for older people.

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Compensation of magnetic disturbances improves inertial and magnetic sensing of human body segment orientation

Cited by 499 publications

References 28 publications

Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system

Estimating 3D L5/S1 moments and ground reaction forces during trunk bending using a full-body ambulatory inertial motion capture system

Reducing Shoulder Injuries among Construction Workers

Mobility assessment in older people: new possibilities and challenges

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