G. Johansson, Visual perception of biological motion and a model for its analysis, Perception & Psychophysics, vol.4, issue.2, pp.201-211, 1973.
DOI : 10.3758/BF03212378

J. Shotton, T. Sharp, A. Kipman, A. Fitzgibbon, M. Finocchio et al., Real-time human pose recognition in parts from single depth images, Communications of the ACM, vol.56, issue.1, pp.116-124, 2013.
DOI : 10.1145/2398356.2398381
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.211.403

A. Delaye and E. Anquetil, HBF49 feature set: A first unified baseline for online symbol recognition, Pattern Recognition, vol.46, issue.1, pp.117-130, 2013.
DOI : 10.1016/j.patcog.2012.07.015
URL : https://hal.archives-ouvertes.fr/hal-00933509

R. Kulpa, F. Multon, and B. Arnaldi, Morphologyindependent representation of motions for interactive human-like animation, Computer Graphics Forum, pp.343-351, 2005.
URL : https://hal.archives-ouvertes.fr/inria-00000220

M. Müller, T. Röder, M. Clausen, B. Eberhardt, B. Krüger et al., Documentation mocap database hdm05, 2007.

L. Xia, C. Chen, and J. Aggarwal, View invariant human action recognition using histograms of 3D joints, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.20-27, 2012.
DOI : 10.1109/CVPRW.2012.6239233

A. K. Jain, R. P. Duin, and J. Mao, Statistical pattern recognition: A review Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.22, issue.1, pp.4-37, 2000.

W. Ding, K. Liu, F. Cheng, and J. Zhang, STFC: Spatio-temporal feature chain for skeleton-based human action recognition, Journal of Visual Communication and Image Representation, vol.26, pp.329-337, 2015.
DOI : 10.1016/j.jvcir.2014.10.009

R. Chaudhry, F. Ofli, G. Kurillo, R. Bajcsy, and R. Vidal, Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.471-478, 2013.
DOI : 10.1109/CVPRW.2013.153
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.671.9345

G. Evangelidis, G. Singh, and R. Horaud, Skeletal Quads: Human Action Recognition Using Joint Quadruples, 2014 22nd International Conference on Pattern Recognition, 2014.
DOI : 10.1109/ICPR.2014.772
URL : https://hal.archives-ouvertes.fr/hal-00989725

F. Ofli, R. Chaudhry, G. Kurillo, R. Vidal, and R. Bajcsy, Sequence of the most informative joints (SMIJ): A new representation for human skeletal action recognition, Journal of Visual Communication and Image Representation, vol.25, issue.1, pp.24-38, 2014.
DOI : 10.1016/j.jvcir.2013.04.007

F. A. Sadjadi and E. L. Hall, Three-dimensional moment invariants Pattern Analysis and Machine Intelligence, IEEE Transactions, issue.2, pp.127-136, 1980.
DOI : 10.1109/tpami.1980.4766990

C. B. Barber, D. P. Dobkin, and H. Huhdanpaa, The quickhull algorithm for convex hulls, ACM Transactions on Mathematical Software, vol.22, issue.4, pp.469-483, 1996.
DOI : 10.1145/235815.235821
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.405

S. Lazebnik, C. Schmid, and J. Ponce, Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), pp.2169-2178, 2006.
DOI : 10.1109/CVPR.2006.68
URL : https://hal.archives-ouvertes.fr/inria-00548585

M. E. Hussein, M. Torki, M. A. Gowayyed, and M. El-saban, Human action recognition using a temporal hierarchy of covariance descriptors on 3d joint locations, IJCAI, pp.2466-2472, 2013.

H. Pazhoumand-dar, C. Lam, and M. Masek, Joint movement similarities for robust 3D action recognition using skeletal data, Journal of Visual Communication and Image Representation, vol.30, pp.10-21, 2015.
DOI : 10.1016/j.jvcir.2015.03.002

H. Zhang and L. E. Parker, Bio-inspired predictive orientation decomposition of skeleton trajectories for real-time human activity prediction, 2015 IEEE International Conference on Robotics and Automation (ICRA), pp.3053-3060, 2015.
DOI : 10.1109/ICRA.2015.7139618

L. L. Presti, M. L. Cascia, S. Sclaroff, and O. Camps, Gesture modeling by hanklet-based hidden markov model, Computer Vision?ACCV 2014, pp.529-546, 2014.

R. Slama, H. Wannous, M. Daoudi, and A. Srivastava, Accurate 3D action recognition using learning on the Grassmann manifold, Pattern Recognition, vol.48, issue.2, pp.556-567, 2015.
DOI : 10.1016/j.patcog.2014.08.011
URL : https://hal.archives-ouvertes.fr/hal-01056399

Y. Zhu, W. Chen, and G. Guo, Fusing Spatiotemporal Features and Joints for 3D Action Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.486-491, 2013.
DOI : 10.1109/CVPRW.2013.78