T. Luger, T. Bosch, D. Veeger, and M. De-looze, The influence of task variation on manifestation of fatigue is ambiguous ??? a literature review, Ergonomics, vol.34, issue.2, pp.162-174, 2014.
DOI : 10.1007/s00421-012-2375-z

A. Samani, C. Pontonnier, G. Dumont, and P. Madeleine, Kinematic synergy in a real and a virtual simulated assembly task, Proceedings 19 th Triennial Congress of the IEA. p. 8. , Melbourne (Australy), 2015.
URL : https://hal.archives-ouvertes.fr/hal-01174259

M. L. Latash, J. P. Scholz, and G. Schoner, Motor control strategies revealed in the structure of motor variability. Exercise and Sport Sciences Reviews, pp.26-31, 2002.

C. Gaudez, M. A. Gilles, and J. Savin, Intrinsic movement variability at work. How long is the path from motor control to design engineering? Applied Ergonomics, pp.71-78, 2016.
DOI : 10.1016/j.apergo.2015.08.014
URL : https://hal.archives-ouvertes.fr/hal-01227119

D. Srinivasan and S. E. Mathiassen, Motor variability -an important issue in occupational life, Work, vol.41, pp.2527-2534, 2012.

D. Magistris, G. Micaelli, A. Evrard, P. Andriot, C. Savin et al., Dynamic control of DHM for ergonomic assessments, International Journal of Industrial Ergonomics, vol.43, issue.2, pp.170-180, 2013.
DOI : 10.1016/j.ergon.2013.01.003
URL : https://hal.archives-ouvertes.fr/hal-00972324

M. M. Churchland, A. Afshar, and K. V. Shenoy, A Central Source of Movement Variability, Neuron, vol.52, issue.6, pp.1085-1096, 2006.
DOI : 10.1016/j.neuron.2006.10.034

M. L. Latash, The bliss (not the problem) of motor abundance (not redundancy) Experimental Brain Research, pp.1-5, 2012.

C. Pontonnier, A. Samani, M. Badawi, P. Madeleine, and G. Dumont, Assessing the ability of a VR-based assembly task simulation to evaluate physical risk factors, Presented at the IEEE Transactions on Visualization and Computer Graphics, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00905981

J. N. Côté, P. A. Mathieu, M. F. Levin, and A. G. Feldman, Movement reorganization to compensate for fatigue during sawing, Experimental Brain Research, vol.146, issue.3, pp.394-398, 2002.
DOI : 10.1007/s00221-002-1186-6

L. Ma, W. Zhang, B. Hu, D. Chablat, F. Bennis et al., Determination of subject-specific muscle fatigue rates under static fatiguing operations, Ergonomics, vol.36, issue.4, pp.1889-1900, 2013.
DOI : 10.1080/00140139.2013.851283
URL : https://hal.archives-ouvertes.fr/hal-00943279

N. K. Vøllestad, Measurement of human muscle fatigue, Journal of Neuroscience Methods, vol.74, issue.2, pp.219-227, 1997.
DOI : 10.1016/S0165-0270(97)02251-6

J. Ding, A. S. Wexler, and S. A. Binder-macleod, A predictive model of fatigue in human skeletal muscles, Journal of Applied Physiology, vol.89, pp.1322-1332, 2000.

M. Böl, H. Stark, and N. Schilling, On a phenomenological model for fatigue effects in skeletal muscles, Journal of Theoretical Biology, vol.281, issue.1, pp.122-132, 2011.
DOI : 10.1016/j.jtbi.2010.03.004

J. Z. Liu, R. W. Brown, and G. H. Yue, A Dynamical Model of Muscle Activation, Fatigue, and Recovery, Biophysical Journal, vol.82, issue.5, pp.2344-2359, 2002.
DOI : 10.1016/S0006-3495(02)75580-X

L. A. Frey-law, J. M. Looft, and J. Heitsman, A three-compartment muscle fatigue model accurately predicts joint-specific maximum endurance times for sustained isometric tasks, Journal of Biomechanics, vol.45, issue.10, pp.1803-1808, 2012.
DOI : 10.1016/j.jbiomech.2012.04.018

D. Brouillette, G. Thivierge, D. Marchand, and J. Charland, Preparative study regarding the implementation of a muscular fatigue model in a virtual task simulator, Work-a Journal of Prevention Assessment & Rehabilitation, vol.41, pp.2216-2225, 2012.

P. Maurice, Y. Measson, V. Padois, and P. Bidaud, Assessment of Physical Exposure to Musculoskeletal Risks in Collaborative Robotics Using Dynamic Simulation, Romansy 19 ? Robot Design, Dynamics and Control: Proceedings of the 19th CISM-Iftomm Symposium, pp.325-332, 2013.
DOI : 10.1007/978-3-7091-1379-0_40
URL : https://hal.archives-ouvertes.fr/hal-00720750

X. Merlhiot, L. Garrec, J. Saupin, G. Andriot, and C. , The xde mechanical kernel: Efficient and robust simulation of multibody dynamics with intermittent nonsmooth contacts, The 2nd Joint International Conference on Multibody System Dynamics, 2012.

P. Maurice, V. Padois, Y. Measson, and P. Bidaud, Sensitivity analysis of human motion for the automatic improvement of gestures, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01221647

S. L. Delp, F. C. Anderson, A. S. Arnold, P. Loan, A. Habib et al., OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement, IEEE Transactions on Biomedical Engineering, vol.54, issue.11, pp.1940-1950, 2007.
DOI : 10.1109/TBME.2007.901024

J. R. Fuller, K. V. Lomond, J. Fung, and J. N. Côté, Posture-movement changes following repetitive motion-induced shoulder muscle fatigue, Journal of Electromyography and Kinesiology, vol.19, issue.6, pp.1043-1052, 2009.
DOI : 10.1016/j.jelekin.2008.10.009

J. Faraway and J. Hu, Modeling Variability in Reaching Motions, SAE Technical Paper Series, p.11, 2001.
DOI : 10.4271/2001-01-2094

R. A. Schmidt, H. Zelaznik, B. Hawkins, J. S. Frank, and J. T. Quinn, Motor-output variability: a theory for the accuracy of rapid motor acts. Psychological review, pp.415-51, 1979.