T. A. Mcmahon, Muscles, Reflexes, and Locomotion, 1984.

S. L. Delp and J. P. Loan, A computational framework for simulating and analyzing human and animal movement, Computing in Science & Engineering, vol.2, issue.5, pp.46-55, 2000.
DOI : 10.1109/5992.877394

S. L. Delp and F. C. Anderson, OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement, IEEE Transactions on Biomedical Engineering, vol.54, issue.11, 1940.
DOI : 10.1109/TBME.2007.901024

Y. Nakamura, K. Yamane, Y. Fujita, and I. Suzuki, Somatosensory computation for man-machine interface from motion-capture data and musculoskeletal human model, IEEE Transactions on Robotics, vol.21, issue.1, pp.58-66, 2005.
DOI : 10.1109/TRO.2004.833798

K. Yamane, Y. Fujita, and Y. Nakamura, Estimation of Physically and Physiologically Valid Somatosensory Information, Proceedings of the 2005 IEEE International Conference on Robotics and Automation, pp.2635-2641, 2005.
DOI : 10.1109/ROBOT.2005.1570509

P. De-leva, Adjustments to Zatsiorsky-Seluyanov's segment inertia parameters, Journal of Biomechanics, vol.29, issue.9, pp.1223-1230, 1996.
DOI : 10.1016/0021-9290(95)00178-6

T. S. Buchanan, D. G. Lloyd, K. Manal, and T. F. Bessier, Neuromusculoskeletal Modeling: Estimation of Muscle Forces and Joint Moments and Movements from Measurements of Neural Command, Journal of Applied Biomechanics, vol.20, issue.4, pp.367-395, 2004.
DOI : 10.1123/jab.20.4.367

G. Venture, K. Ayusawa, and Y. Nakamura, Real-time identification and visualization of human segment parameters, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3983-3986, 2009.
DOI : 10.1109/IEMBS.2009.5333620

K. Ayusawa, G. Venture, and Y. Nakamura, Real-time implementation of physically consistent identification of human body segments, 2011 IEEE International Conference on Robotics and Automation, 2011.
DOI : 10.1109/ICRA.2011.5979903

D. G. Lloyd and T. F. Bessier, An EMG-driven musculoskeletal model to estimate muscle forces and knee joint moments in vivo, Journal of Biomechanics, vol.36, issue.6, pp.765-776, 2003.
DOI : 10.1016/S0021-9290(03)00010-1

A. V. Hill, The Heat of Shortening and the Dynamic Constants of Muscle, Proceeding of the royal society, pp.136-195, 1938.
DOI : 10.1098/rspb.1938.0050

F. E. Zajac, Muscle and tendon: properties, models, scaling and application to biomechanics and motor control, CRC Critic. Rev. in Biomed. Eng, vol.17, pp.359-411, 1989.

J. Potvin, R. Norman, and S. Mcgill, Mechanically corrected EMG for the continuous estimation of erector spinae muscle loading during repetitive lifting, European Journal of Applied Physiology and Occupational Physiology, vol.28, issue.1-2, pp.119-132, 1996.
DOI : 10.1007/BF00376504

]. S. Stroeve, Impedance characteristics of a neuromusculoskeletal model of the human arm I. Posture control, Biological Cybernetics, vol.81, issue.5-6, pp.475-494, 1999.
DOI : 10.1007/s004220050577

M. Hayashibe, M. Benoussaad, D. Guiraud, P. Poignet, and C. , Nonlinear identification method corresponding to muscle property variation in FES - experiments in paraplegic patients, 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, pp.401-406, 2010.
DOI : 10.1109/BIOROB.2010.5628018
URL : https://hal.archives-ouvertes.fr/lirmm-00502181

M. Sartori, M. Reggiani, D. G. Lloyd, and E. Pagello, An EMG-driven Musculoskeletal Model of the Human Lower Limb for the Estimation of Muscle Forces and Moments at the Hip, Knee and Ankle Joints in vivo, Proc. of Int. Conf. on Simulation, Modeling and Programming for Autonomous Robots, pp.137-146, 2010.

K. Yoshida, D. N. Nenchev, and M. Uchiyama, Moving Base Robotics and Reaction Management Control, Proc. of the Seventh Int. Symp. of Robotics Research, pp.100-109, 1995.
DOI : 10.1007/978-1-4471-1021-7_11

W. Khalil and E. Dombre, Modeling, identification and control of robots, Hermès Penton, 2002.

Y. P. Ivanenko, G. Cappellini, N. Dominici, R. E. Poppele, and F. Lacquaniti, Modular Control of Limb Movements during Human Locomotion, Journal of Neuroscience, vol.27, issue.41, pp.11149-11161, 2007.
DOI : 10.1523/JNEUROSCI.2644-07.2007

A. Murai, K. Kurosaki, K. Yamane, and Y. Nakamura, Computationally fast estimation of muscle tension for realtime Bio-feedback, 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.6546-6549, 2009.
DOI : 10.1109/IEMBS.2009.5334504

Q. Zhang, M. Hayashibe, P. Fraisse, and D. Guiraud, FES-Induced Torque Prediction With Evoked EMG Sensing for Muscle Fatigue Tracking, IEEE/ASME Transactions on Mechatronics, vol.16, issue.5, 2011.
DOI : 10.1109/TMECH.2011.2160809
URL : https://hal.archives-ouvertes.fr/lirmm-00604670