R. C. Simpson, How many people would benefit from a smart wheelchair?, The Journal of Rehabilitation Research and Development, vol.45, issue.1, pp.53-72, 2008.
DOI : 10.1682/JRRD.2007.01.0015

E. G. Lachmann and A. Wrench, Assessment of need for special seating and/or electronic control systems for wheelchairs among people with severe physical disabilities, Clinical Rehabilitation, vol.51, issue.2, pp.151-156, 1993.
DOI : 10.1177/026921559300700210

L. Fehr, W. E. Langbein, and S. B. Skaar, Adequacy of power wheelchair control interfaces for persons with severe disabilities: a clinical survey, Journal of rehabilitation research and development, vol.37, issue.3, pp.353-60, 2000.

S. P. Levine, D. Bell, L. Jaros, R. C. Simpson, Y. Koren et al., The NavChair Assistive Wheelchair Navigation System IEEE transactions on rehabilitation engineering : a publication of the, IEEE Engineering in Medicine and Biology Society, vol.7, issue.4, pp.443-51, 1999.

T. Kollar, S. Tellex, D. Roy, and N. Roy, Grounding Verbs of Motion in Natural Language Commands to Robots, International Symposium on Experimental Robotics, 2010.
DOI : 10.1007/978-3-642-28572-1_3

G. Vanacker, J. Millán, E. Lew, P. W. Ferrez, F. G. Moles et al., Context-Based Filtering for Assisted Brain-Actuated Wheelchair Driving, Computational Intelligence and Neuroscience, vol.2007, p.25130, 2007.
DOI : 10.1109/TNSRE.2006.875555

E. Demeester, A. Huntemann, D. Vanhooydonck, G. Vanacker, A. Degeest et al., Bayesian Estimation of Wheelchair Driver Intents: Modeling Intents as Geometric Paths Tracked by the Driver, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.5775-5780, 2006.
DOI : 10.1109/IROS.2006.282386

E. Demeester, J. Huntemann, R. Del, H. Millan, and . Van-brussel, Bayesian plan recognition for Brain-Computer Interfaces, 2009 IEEE International Conference on Robotics and Automation, pp.653-658, 2009.
DOI : 10.1109/ROBOT.2009.5152653

E. Demeester, M. Nuttin, D. Vanhooydonck, and H. Van-brussel, Assessing the user's intent using bayes' rule: application to wheelchair control, Proceedings of the 1st International Workshop on Advanced in Service Robotics, pp.117-124, 2003.

T. Taha, J. V. Miro, and G. Dissanayake, POMDP-based longterm user intention prediction for wheelchair navigation, IEEE International Conference on Robotics and Automation, pp.3920-3925, 2008.

P. S. Vasquez, Human Aware Navigation for Assistive Robotics, 13th International Symposium on Experimental Robotics, 2012.
DOI : 10.1007/978-3-319-00065-7_31
URL : https://hal.archives-ouvertes.fr/hal-00743628

J. Rios-martinez, A. Spalanzani, and C. Laugier, Understanding human interaction for probabilistic autonomous navigation using Risk-RRT approach, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2014-2019, 2011.
DOI : 10.1109/IROS.2011.6094496
URL : https://hal.archives-ouvertes.fr/inria-00633896

D. Vasquez, T. Fraichard, and C. Laugier, Growing Hidden Markov Models: a Tool for Incremental Learning and Prediction of Motion, International Journal of Robotics Research, vol.28, pp.11-12, 2009.

C. Fulgenzi, A. Spalanzani, C. Laugier, and C. Tay, Risk based motion planning and navigation in uncertain dynamic environment INRIA Pi face tracker webpage, Research Report, vol.16, 2010.

G. Fanelli, J. Gall, and L. Van-gool, Real time head pose estimation with random regression forests Cmu sphinx webpage, Computer Vision and Pattern Recognition, vol.18, 2011.