Validation of a Model-based Motion Reconstruction Method Developed in the REALMAN Project

Wang, Xuguang; Chevalot, Nicolas; Monnier, Gilles; Ausejo, Sergio; Suescun, Ángel; Celigüeta, J. T.

doi:10.4271/2005-01-2743

Cited by 21 publications

(13 citation statements)

References 17 publications

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“…The joint angles, CoM trajectory and joint loads were computed using an inverse kinematics procedure (Wang et al 2005) and a classical Newton -Euler recursive algorithm (Doriot and Chèze 2004). The following net joint torques were analysed: flexion torques for the knees and the lower lumbar joint and flexion, abduction and axial rotation torques for the hips and the right shoulder.…”

Section: Methodsmentioning

confidence: 99%

Dynamics of sit-to-stand motions: effect of seat height, handle use and asymmetrical motions

Thomas¹,

Causse²,

Wang³

2011

Computer Methods in Biomechanics and Biomedical Engineering

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Section: Methodsmentioning

confidence: 99%

Dynamics of sit-to-stand motions: effect of seat height, handle use and asymmetrical motions

Thomas¹,

Causse²,

Wang³

2011

Computer Methods in Biomechanics and Biomedical Engineering

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“…Since these methods recover the motion of each segment separately, a problem with them is that STA can cause unrealistic motions of the joints. Therefore, methods have been developed that use an underlying model with joint constraints to determine the segment motion (Andersen et al, 2009, in press;Cerveri et al, 2003Cerveri et al, , 2005Charlton et al, 2004;Jung and Wohn, 1997;Lu and O'Connor, 1999;Reinbolt et al, 2005;Wang et al, 2005;Zakotnik et al, 2004). Lu and O'Connor (1999) introduced spherical joint constraints between the segments and demonstrated that the joint constraints reduce the effect of random and sinusoidal noise added to a simulated gait cycle.…”

Section: Introductionmentioning

confidence: 99%

Do kinematic models reduce the effects of soft tissue artefacts in skin marker-based motion analysis? An in vivo study of knee kinematics

Andersen

Benoît

Damsgaard

et al. 2010

Journal of Biomechanics

121

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“…For this, the generated subject specific manikins were exported into a customised DHM software tool (named 'RPx'), which could also import EOS radiographic images. Once a digital manikin and its corresponding two radiographic images were imported in RPx, the manikin posture was manually adjusted so as to match the manikin's contour with the subject's skin surface (Figure 1) (see Wang et al, 2005 andSeitz et al, 2000 for a description of the matching method). The operators performing manual superposition were asked to position the pelvis at first and then the upper and lower bodies.…”

Section: Data Acquisitionmentioning

confidence: 99%

An assessment of the realism of digital human manikins used for simulation in ergonomics

2015

Self Cite

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is an open access repository that collects the work of Arts et Métiers ParisTech researchers and makes it freely available over the web where possible. AbstractIn this study, the accuracy of the joint centers of the manikins generated by RAMSIS and Human Builder (HB), two digital human modeling systems widely used in industry for virtual ergonomics simulation, was investigated. Eighteen variously sized females and males were generated from external anthropometric dimensions and six joint centers (knee, hip and four spine joints) were compared with their anatomic locations obtained from the threedimensional reconstructed bones from a low-dose X-ray system. Both RAMSIS and HB could correctly reproduce external anthropometric dimensions while the estimation of internal joint centers location presented an average error of 27.6mm for HB and 38.3mm for RAMSIS.Differences between both manikins showed that a more realistic kinematic linkage led to better accuracy in joint location. This study opens the way to further research on the relationship between the external body geometry and internal skeleton in order to improve the realism of the internal skeleton of digital human models especially for a biomechanical analysis requiring information of joint load and muscle force estimation. KeywordsDigital Human Models; Anthropometry; Joint center, Stereo-radiography Practitioner summary (50 words)The present study assessed two digital human modeling systems widely used in industry for virtual ergonomics. Results support the need of a more realistic human modelling especially for a biomechanical analysis and a standardization of digital human models.3

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Validation of a Model-based Motion Reconstruction Method Developed in the REALMAN Project

Cited by 21 publications

References 17 publications

Dynamics of sit-to-stand motions: effect of seat height, handle use and asymmetrical motions

Dynamics of sit-to-stand motions: effect of seat height, handle use and asymmetrical motions

Do kinematic models reduce the effects of soft tissue artefacts in skin marker-based motion analysis? An in vivo study of knee kinematics

An assessment of the realism of digital human manikins used for simulation in ergonomics

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