J. Shotton, T. Sharp, A. Kipman, A. Fitzgibbon, M. Finocchio, A. Blake, M. Cook, and R. Moore, "Real-time human pose recognition in parts from single depth images, " Communications of the ACM, vol. 56, no. 1, pp. 116-124, 2013.
R. Poppe, "A survey on vision-based human action recognition, " Image and vision computing, vol. 28, no. 6, pp. 976-990, 2010.
G. T. Papadopoulos, A. Axenopoulos, and P. Daras, "Real-time skeletontracking-based human action recognition using kinect data, " in MultiMedia Modeling. Springer, 2014, pp. 473-483.
E. Ghorbel, R. Boutteau, J. Boonaert, X. Savatier, and S. Lecoeuche, "3D real-time human action recognition using a spline interpolation approach, " in Image Processing Theory Tools and Applications (IPTA), 2015 5th International Conference on. IEEE, 2015.
M. Hammouche, E. Ghorbel, A. Fleury, and S. Ambellouis, "Toward a real time view-invariant 3d action recognition, " in VISAPP, 2016.
W. Li, Z. Zhang, and Z. Liu, "Action recognition based on a bag of 3D points, " in Computer Vision and Pattern Recognition Workshops (CVPRW), 2010 IEEE Computer Society Conference on. IEEE, 2010, pp. 9-14.
R. Vemulapalli, F. Arrate, and R. Chellappa, "Human action recognition by representing 3D skeletons as points in a Lie group, " in Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on. IEEE, 2014, pp. 588-595.
G. Evangelidis, G. Singh, and R. Horaud, "Skeletal quads: Human action recognition using joint quadruples, " in ICPR 2014-International Conference on Pattern Recognition, 2014.
C. Ellis, S. Z. Masood, M. F. Tappen, J. J. Laviola Jr, and R. Sukthankar, "Exploring the trade-off between accuracy and observational latency in action recognition, " International Journal of Computer Vision, vol. 101, no. 3, pp. 420-436, 2013.
L. Xia, C.-C. Chen, and J. Aggarwal, "View invariant human action recognition using histograms of 3D joints, " in Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on. IEEE, 2012, pp. 20-27.
X. Yang and Y. Tian, "Eigenjoints-based action recognition using naivebayes-nearest-neighbor, " in Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on. IEEE, 2012, pp. 14-19.
G. Johansson, "Visual perception of biological motion and a model for its analysis, " Attention, Perception, & Psychophysics, vol. 14, no. 2, pp. 201-211, 1973.
M. Zanfir, M. Leordeanu, and C. Sminchisescu, "The moving pose: An efficient 3D kinematics descriptor for low-latency action recognition and detection, " in Computer Vision (ICCV), 2013 IEEE International Conference on. IEEE, 2013, pp. 2752-2759.
K. Onuma, C. Faloutsos, and J. K. Hodgins, "FMdistance: A fast and effective distance function for motion capture data, " Short Papers Proceedings of EUROGRAPHICS, vol. 2, 2008.
J. Shan and S. Akella, "3D human action segmentation and recognition using pose kinetic energy, " in Advanced Robotics and its Social Impacts (ARSO), 2014 IEEE Workshop on. IEEE, 2014, pp. 69-75.
Y. Shi and Y. Wang, "A local feature descriptor based on energy information for human activity recognition, " in Advanced Intelligent Computing Theories and Applications. Springer, 2015, pp. 311-317.
C.-C. Chang and C.-J. Lin, "Libsvm: A library for Support Vector Machines, " ACM Transactions on Intelligent Systems and Technology (TIST), vol. 2, no. 3, p. 27, 2011.
S. R. Fanello, I. Gori, G. Metta, and F. Odone, "Keep it simple and sparse: Real-time action recognition, " The Journal of Machine Learning Research, vol. 14, no. 1, pp. 2617-2640, 2013.
J. Wang, Z. Liu, Y. Wu, and J. Yuan, "Mining actionlet ensemble for action recognition with depth cameras, " in Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on. IEEE, 2012, pp. 1290-1297.
J. R. Padilla-López, A. A. Chaaraoui, and F. Flórez-Revuelta, "A discussion on the validation tests employed to compare human action recognition methods using the msr action3d dataset, " arXiv preprint arXiv: 1407. 7390, 2014.
Y. Zhu, W. Chen, and G. Guo, "Fusing spatiotemporal features and joints for 3D action recognition, " in Computer Vision and Pattern Recognition Workshops (CVPRW), 2013 IEEE Conference on. IEEE, 2013, pp. 486-491.