A computationally efficient optimisation-based method for parameter identification of kinematically determinate and over-determinate biomechanical systems, Computer Methods in Biomechanics and Biomedical Engineering, vol.13, issue.2, pp.171-183, 2010. ,
DOI : 10.1016/j.clinbiomech.2004.11.012
Do kinematic models reduce the effects of soft tissue artefacts in skin marker-based motion analysis? An in vivo study of knee kinematics, Journal of Biomechanics, vol.43, issue.2, pp.268-273, 2010. ,
DOI : 10.1016/j.jbiomech.2009.08.034
Identifiability and identification of inertial parameters using the underactuated base-link dynamics for legged multibody systems, The International Journal of Robotics Research, vol.16, issue.2, 2013. ,
DOI : 10.1109/70.843167
Fast Determination of the Planar Body Segment Inertial Parameters Using Affordable Sensors, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol.23, issue.4, pp.628-635, 2015. ,
DOI : 10.1109/TNSRE.2015.2405087
Static optimal estimation of joint accelerations for inverse dynamics problem solution, Journal of Biomechanics, vol.35, issue.11, pp.1507-1513, 2002. ,
DOI : 10.1016/S0021-9290(02)00176-8
URL : https://hal.archives-ouvertes.fr/hal-00829536
Kinematical models to reduce the effect of skin artifacts on marker-based human motion estimation, Journal of Biomechanics, vol.38, issue.11, pp.2228-2236, 2005. ,
DOI : 10.1016/j.jbiomech.2004.09.032
Robust recovery of human motion from video using Kalman filters and virtual humans, Human Movement Science, vol.22, issue.3, pp.377-404, 2003. ,
DOI : 10.1016/S0167-9457(03)00004-6
Soft tissue artifact compensation in knee kinematics by multi-body optimization: Performance of subject-specific knee joint models, Journal of Biomechanics, vol.48, issue.14, pp.3796-3802, 2015. ,
DOI : 10.1016/j.jbiomech.2015.09.040
Can generic knee joint models improve the measurement of osteoarthritic knee kinematics during squatting activity?, Computer Methods in Biomechanics and Biomedical Engineering, vol.20, issue.1, 2017. ,
DOI : 10.1016/j.jbiomech.2014.08.009
Kalman smoothing improves the estimation of joint kinematics and kinetics in marker-based human gait analysis, Journal of Biomechanics, vol.41, issue.16, pp.3390-3398, 2008. ,
DOI : 10.1016/j.jbiomech.2008.09.035
Adjustments to McConville et al. and Young et al. body segment inertial parameters, Journal of Biomechanics, vol.40, issue.3, pp.543-553, 2007. ,
DOI : 10.1016/j.jbiomech.2006.02.013
Estimating joint kinematics of a whole body chain model with a closed-loop constraints. Multibody Syst, Dynamics, vol.31, pp.433-449, 2014. ,
Validation of a multi-body optimization with knee kinematic models including ligament constraints, Journal of Biomechanics, vol.48, issue.6, pp.1141-1146, 2015. ,
DOI : 10.1016/j.jbiomech.2015.01.010
URL : https://hal.archives-ouvertes.fr/hal-01279186
Kalman filtering with equality and inequality state constraints, 2007. ,
Quantification of pelvic soft tissue artifact in multiple static positions, Gait & Posture, vol.39, issue.2, pp.712-717, 2014. ,
DOI : 10.1016/j.gaitpost.2013.10.001
A Least-Squares Estimation Approach to Improving the Precision of Inverse Dynamics Computations, Journal of Biomechanical Engineering, vol.120, issue.1, pp.148-159, 1998. ,
DOI : 10.1115/1.2834295
To what extent is joint and muscle mechanics predicted by musculoskeletal models sensitive to soft tissue artefacts?, Journal of Biomechanics, vol.62, 2016. ,
DOI : 10.1016/j.jbiomech.2016.07.042
URL : https://doi.org/10.1016/j.jbiomech.2016.07.042
The inaccuracy of surface-measured model-derived tibiofemoral kinematics, Journal of Biomechanics, vol.45, issue.15, pp.2719-2723, 2012. ,
DOI : 10.1016/j.jbiomech.2012.08.007
Bone position estimation from skin marker co-ordinates using global optimisation with joint constraints, Journal of Biomechanics, vol.32, issue.2, pp.129-134, 1999. ,
DOI : 10.1016/S0021-9290(98)00158-4
Quantification of soft tissue artifact in lower limb human motion analysis: A systematic review, Gait & Posture, vol.31, issue.1, pp.1-8, 2010. ,
DOI : 10.1016/j.gaitpost.2009.09.004
Determination of patient-specific multi-joint kinematic models through two-level optimization, Journal of Biomechanics, vol.38, issue.3, pp.621-626, 2005. ,
DOI : 10.1016/j.jbiomech.2004.03.031
Knees kinematics estimation using multi-body optimisation embedding a knee joint stiffness matrix: a feasibility study, Plos One, 2016. ,
Uncertainties in inverse dynamics solutions: A comprehensive analysis and an application to gait, Gait & Posture, vol.27, issue.4, pp.578-588, 2008. ,
DOI : 10.1016/j.gaitpost.2007.07.012
Validation of net joint loads calculated by inverse dynamics in case of complex movements: Application to balance recovery movements, Journal of Biomechanics, vol.40, issue.11, pp.2450-2456, 2007. ,
DOI : 10.1016/j.jbiomech.2006.11.014
Kalman filtering with state constraints: a survey of linear and nonlinear algorithms, IET Control Theory & Applications, vol.4, issue.8, pp.1303-1318, 2010. ,
DOI : 10.1049/iet-cta.2009.0032
Controllability and Observability: Tools for Kalman Filter Design, Procedings of the British Machine Vision Conference 1998, pp.1-10, 1998. ,
DOI : 10.5244/C.12.17
URL : http://www.bmva.ac.uk/bmvc/1998/bmvc98/../pdf/p043.pdf
Effects of hip joint centre mislocation on gait analysis results, Journal of Biomechanics, vol.33, issue.11, pp.1479-1487, 2000. ,
DOI : 10.1016/S0021-9290(00)00093-2
Soft Tissue Artefacts of the Human Back: Comparison of the Sagittal Curvature of the Spine Measured Using Skin Markers and an Open Upright MRI, PLoS ONE, vol.5, issue.4, 1998. ,
DOI : 10.1371/journal.pone.0095426.t004