R. Pausch and R. D. Williams, Giving CANDY to children: user-tailored gesture input driving an articulator-based speech synthesizer, Communications of the ACM, vol.35, issue.5, pp.58-66, 201255.
DOI : 10.1145/129875.129880

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.51.6970

M. Lande and M. Samvatsar, Multimodal System using Human Computer Interface, International Journal of Engineering and Innovative Technology (IJEIT), vol.1, 2012.

S. Chhabria and R. Dharaskar, Multimodal Interface for Disabled Persons, International Journal of Computer Science and Communication V, pp.223-228, 2012.

Y. Zhang, Z. J. , and Y. Luo, A novel intelligent wheelchair control system based on hand gesture recognition, The 2011 IEEE/ICME International Conference on Complex Medical Engineering, 2011.
DOI : 10.1109/ICCME.2011.5876761

Y. Kobayashi, Y. Kinpara, T. Shibusawa, and Y. Kuno, Robotic wheelchair based on observations of people using integrated sensors, 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp.2013-2018, 2009.
DOI : 10.1109/IROS.2009.5353933

R. Simpson, E. Lopresti, S. Hayashi, I. Nourbakhsh, and D. Miller, The Smart Wheelchair Component System, The Journal of Rehabilitation Research and Development, vol.41, issue.3b, pp.429-442, 2004.
DOI : 10.1682/JRRD.2003.03.0032

P. Jia, H. Hu, T. Lu, and K. Yuan, Head gesture recognition for hands???free control of an intelligent wheelchair, Industrial Robot: An International Journal, vol.34, issue.1, pp.60-68, 2007.
DOI : 10.1108/01439910710718469

K. Kumar and M. Dinesh, Hand Gesture Recognition Wheelchair Control by Digital Image Processing Technique, International Journal of Communications and Engineering, vol.4, pp.67-71, 2012.

M. Hillman, K. Hagan, S. Hagan, J. Jepson, and R. Orpwood, The Weston wheelchair mounted assistive robot - the design story, Robotica, vol.20, issue.02, pp.125-132, 2002.
DOI : 10.1017/S0263574701003897

K. Tsui, H. Yanco, D. Kontak, and L. Beliveau, Development and evaluation of a flexible interface for a wheelchair mounted robotic arm, Proceedings of the 3rd international conference on Human robot interaction , HRI '08, 2008.
DOI : 10.1145/1349822.1349837

M. Palankar, K. De-laurentis, R. Alqasemi, E. Veras, R. Dubey et al., Control of a 9-DoF Wheelchair-mounted robotic arm system using a P300 Brain Computer Interface: Initial experiments, 2008 IEEE International Conference on Robotics and Biomimetics, 2009.
DOI : 10.1109/ROBIO.2009.4913028

Y. Touati and A. Ali-cherif, Smart Powered Wheelchair Platform Design and control for People with Severe Disabilities, International Journal of Software Engineering, vol.2, issue.3, pp.49-56, 2012.
DOI : 10.5923/j.se.20120203.02

URL : https://hal.archives-ouvertes.fr/hal-01058937

W. M. Krueger, Artificial Reality II, 1991.

V. I. Pavlovic, R. Sharma, and T. S. Huang, Visual interpretation of hand gestures for human-computer interaction: a review, IEEE Transactions on Pattern Analysis and Machine Intelligence, 1997.
DOI : 10.1109/34.598226

H. M. Birk, Real-Time Recognition of Hand Alphabet Gestures Using Principal Component Analysis, 10th Scandinavian Conference on Image Analysis, 1997.

J. Maclean, C. Pantofaru, L. Wood, R. Herpers, K. Derpanis et al., Fast hand gesture recognition for real-time teleconferencing applications, Proceedings IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, 2001.
DOI : 10.1109/RATFG.2001.938922

H. Kim and D. W. Fellner, Interaction with Hand Gesture for a Back-Projection Wall, CGI '04 Proceedings of the Computer Graphics International, 2001.

Y. Sato, M. Saito, and H. Koik, Real-time input of 3D pose and gestures of a user's hand and its applications for HCI, Proceedings IEEE Virtual Reality 2001, 2001.
DOI : 10.1109/VR.2001.913773

H. Jang, D. Jun-hyeong, J. Jin-woo, and Z. Z. Bien, Two-staged hand-posture recognition method for softremocon system, Systems, Man and Cybernetics, 2005 IEEE International Conference on, 2005.

Y. Hamada, N. Shimada, and Y. Shirai, Hand Shape Estimation Using Sequence of Multi-Ocular Images Based on Transition Network, International Conference on Vision Interface, 2002.

Y. Hamada, N. Shimada, and Y. Shirai, Hand shape estimation using image transition network, Proceedings Workshop on Human Motion, 2000.
DOI : 10.1109/HUMO.2000.897387

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.6915

L. K. Lee, S. Kim, Y. K. Choi, and M. H. Lee, Recognition of hand gesture to human-computer interaction, 26th Annual Conference of the IEEE Industrial Electronics Society, 2000.

Y. Sribooruang, P. Kumhom, and K. Chamnongthai, Hand posture classification using wavelet moment invariant, 2004 IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems, 2004. (VCIMS)., 2004.
DOI : 10.1109/VECIMS.2004.1397192

M. K. Hu, Visual Pattern Recognition by Moment Invariants, Theory, Vols. IT-8, pp.179-187, 1962.

A. Licsár and T. Szirányi, Dynamic training of hand gesture recognition system, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004.
DOI : 10.1109/ICPR.2004.1333935

H. Zhou, D. J. Lin, and T. S. Huang, Static hand gesture recognition based on local orientation histogram feature distribution model, Conference on Computer Vision and Pattern Recognition Workshop, 2004.

V. Athitsos and S. Sclaroff, An appearance-based framework for 3D hand shape classification and camera viewpoint estimation, Proceedings of Fifth IEEE International Conference on Automatic Face Gesture Recognition, 2001.
DOI : 10.1109/AFGR.2002.1004129

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.137.803

S. Marcel, O. Bernier, J. Viallet, and D. Collobert, Hand gesture recognition using inpu/output hidden markov models, Fourth IEEE International Conference on Automatic Face and Gesture Recognition, 2000.
DOI : 10.1109/afgr.2000.840674

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.127.9351

M. J. Jones and P. Viola, Face recognition using boosted local features, International Conference on Computer Vision, 2003.

A. Smola, Geometry and invariance in kernel based methods, Advances in Kernel Methods: Support Vector Learning, pp.89-116, 1999.