Y. Chang, S. Chen, and J. Huang, A Kinect-based system for physical rehabilitation: A pilot study for young adults with motor disabilities, Research in Developmental Disabilities, vol.32, issue.6, pp.2566-70, 2011.
DOI : 10.1016/j.ridd.2011.07.002

J. M. Ibarra-zannatha, A. J. Tamayo, A. D. Sánchez, J. E. Delgado, L. E. Cheu et al., Development of a system based on 3D vision, interactive virtual environments, ergonometric signals and a humanoid for stroke rehabilitation, Computer Methods and Programs in Biomedicine, vol.112, issue.2, pp.239-288, 2013.
DOI : 10.1016/j.cmpb.2013.04.021

J. Lozano-quilis, H. Gil-gómez, J. Gil-gómez, S. Albiol-pérez, G. Palacios-navarro et al., Virtual Rehabilitation for Multiple Sclerosis Using a Kinect-Based System: Randomized Controlled Trial, JMIR Serious Games, p.12, 2014.
DOI : 10.2196/games.2933

S. Cho, J. Ku, Y. K. Cho, I. Y. Kim, Y. J. Kang et al., Development of virtual reality proprioceptive rehabilitation system for stroke patients, Computer Methods and Programs in Biomedicine, vol.113, issue.1, pp.258-65, 2014.
DOI : 10.1016/j.cmpb.2013.09.006

I. T. Paraskevopoulos, E. Tsekleves, C. Craig, C. Whyatt, and J. Cosmas, Design guidelines for developing customised serious games for Parkinson???s Disease rehabilitation using bespoke game sensors, Entertainment Computing, vol.5, issue.4, pp.413-424, 2014.
DOI : 10.1016/j.entcom.2014.10.006

P. Chen, S. Wei, W. Hsieh, J. Cheen, L. Chen et al., Lower limb power rehabilitation (LLPR) using interactive video game for improvement of balance function in older people, Archives of Gerontology and Geriatrics, vol.55, issue.3, pp.677-82, 2012.
DOI : 10.1016/j.archger.2012.05.012

R. Williamson and B. J. Andrews, Detecting absolute human knee angle and angular velocity using accelerometers and rate gyroscopes, Medical & Biological Engineering & Computing, vol.38, issue.8, pp.294-302, 2001.
DOI : 10.1007/BF02345283

H. Dejnabadi, B. M. Jolles, and K. Aminian, A New Approach to Accurate Measurement of Uniaxial Joint Angles Based on a Combination of Accelerometers and Gyroscopes, IEEE Transactions on Biomedical Engineering, vol.52, issue.8, pp.1478-84, 2005.
DOI : 10.1109/TBME.2005.851475

H. Dejnabadi, B. M. Jolles, E. Casanova, P. Fua, and K. Aminian, Estimation and Visualization of Sagittal Kinematics of Lower Limbs Orientation Using Body-Fixed Sensors, IEEE Transactions on Biomedical Engineering, vol.53, issue.7, pp.1385-93, 2006.
DOI : 10.1109/TBME.2006.873678

R. Takeda, S. Tadano, M. Todoh, M. Morikawa, M. Nakayasu et al., Gait analysis using gravitational acceleration measured by wearable sensors, Journal of Biomechanics, vol.42, issue.3, pp.223-256, 2009.
DOI : 10.1016/j.jbiomech.2008.10.027

R. Pérez, Ú. Costa, M. Torrent, J. Solana, E. Opisso et al., Upper Limb Portable Motion Analysis System Based on Inertial Technology for Neurorehabilitation Purposes, Sensors, vol.10, issue.12, pp.10733-51, 2010.
DOI : 10.3390/s101210733

A. Hadjidj, M. Souil, A. Bouabdallah, Y. Challal, and H. Owen, Journal of Network and Computer Applications Wireless sensor networks for rehabilitation applications: Challenges and opportunities, pp.1-15, 2013.

H. Tannous, T. T. Dao, D. Istrate, and M. C. Ho-ba-tho, Serious game for functional rehabilitation, 2015 International Conference on Advances in Biomedical Engineering (ICABME), pp.242-245, 2015.
DOI : 10.1109/ICABME.2015.7323297

URL : https://hal.archives-ouvertes.fr/hal-01359984

R. Murray-smith, Fusing Kinect Sensor and Inertial Sensors with Multi-rate Kalman Filter. IET Conference on Data Fusion & Target Tracking 2014: Algorithms and Applications, 2014.

A. Ahmadi, N. E. Connor, and K. Moran, Low-Cost Accurate Skeleton Tracking Based on Fusion of Kinect and Wearable Inertial Sensors. Franc Insight Centre for Data, Petros Daras Information Technologies Institute Centre for Research and Technology Hellas Greece, pp.371-375

F. Abyarjoo, A. Barreto, J. Cofino, and F. Ortega, Implementing a Sensor Fusion Algorithm for 3D Orientation Detection with Inertial

S. O. Madgwick, A. J. Harrison, and A. Vaidyanathan, Estimation of IMU and MARG orientation using a gradient descent algorithm, 2011 IEEE International Conference on Rehabilitation Robotics, 2011.
DOI : 10.1109/ICORR.2011.5975346

P. Plantard, E. Auvinet, A. Pierres, . Le, and F. Multon, Pose Estimation with a Kinect for Ergonomic Studies: Evaluation of the Accuracy Using a Virtual Mannequin, Sensors, vol.15, issue.1, pp.1785-803, 2015.
DOI : 10.3390/s150101785

URL : https://hal.archives-ouvertes.fr/hal-01104045

T. T. Dao, H. Tannous, P. Pouletaut, D. Gamet, D. Istrate et al., Interactive and Connected Rehabilitation Systems for E-Health, IRBM, vol.37, issue.5-6, pp.1-8, 2016.
DOI : 10.1016/j.irbm.2016.02.003