A. Bauer, D. Wollherr, and M. And-buss, HUMAN???ROBOT COLLABORATION: A SURVEY, International Journal of Humanoid Robotics, vol.05, issue.01, pp.1-47, 2008.
DOI : 10.1142/S0219843608001303

C. , B. Montecchio, N. Tanaka, A. And-bevilacqua, and F. , Adaptive Gesture Recognition with Variation Estimation for Interactive Systems, ACM Transactions on Interactive Intelligent Systems, vol.4, issue.4, pp.1-34, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01266046

C. , E. Moutarde, F. Manitsaris, S. And-hugues, and O. , Recognition of Technical Gestures for Human-Robot Collaboration in Factories, The Ninth International Conference on Advances in Computer-Human Interactions, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01306482

G. , D. M. And-davis, and L. S. , Towards 3-D model-based tracking and recognition of human movement: a multi-view approach, International Workshop on Automatic Face-and Gesture-Recognition, pp.272-277, 1995.

G. , N. Knapp, R. B. And-o-'modhrain, and S. , Recognition Of Multivariate Temporal Musical Gestures Using N-Dimensional Dynamic Time Warping, NIME, pp.337-342, 2011.

K. , V. Pietikäinen, M. And-heikkilä, and J. , Human activity recognition using sequences of postures, MVA, pp.570-573, 2005.

L. , C. And-woodland, and P. , Maximum likelihood linear regression for speaker adaptation of continuous density hidden Markov models, Computer Speech & Language, vol.9, issue.2, pp.171-185, 1995.

L. , B. Kootsookos, P. And-davis, and R. , Model Structure Selection and Training Algorithms for an HMM Gesture Recognition System, Ninth International Workshop on Frontiers in Handwriting Recognition, pp.100-105, 2004.

N. , S. Ramakrishnan, R. Gu, K. And-shah, and J. , Efficient Model Learning from Joint-Action Demonstrations for Human-Robot Collaborative Tasks, Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction HRI '15, ACM, pp.189-196

N. , S. And-shah, and J. , Human-robot cross-training: computational formulation, modeling and evaluation of a human team training strategy, Proceedings of the 8th ACM/IEEE International Conference on Human-robot Interaction, pp.33-40, 2013.

R. , B. Dickerson, P. Stribling, P. And-dautenhahn, and K. , Robot-mediated joint attention in children with autism: A case study in robot-human interaction, Interaction Studies, vol.5, issue.2, pp.161-198, 2004.

S. , L. A. Mkhitaryan, A. Mateus, D. And-navab, and N. , Human skeleton tracking from depth data using geodesic distances and optical flow, Image and Vision Computing, vol.30, issue.3, pp.217-226, 2012.

S. , J. Jimmerson, G. Pearson, T. And-menassa, and R. , Levels of human and robot collaboration for automotive manufacturing, Proceedings of the Workshop on Performance Metrics for Intelligent Systems -PerMIS '12, p.95, 2012.

S. , J. Fitzgibbon, A. Cook, M. Sharp, T. Finocchio et al., Real-time Human Pose Recognition in Parts from Single Depth Images, Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition, pp.1297-1304, 2011.

T. , S. And-bennewitz, and M. , MINERVA: A second-generation museum tour-guide robot, Proceedings of IEEE International Conference on Robotics and Automation, 1999.

W. , M. L. Koay, K. L. Syrdal, D. S. Campbell, A. And-dautenhahn et al., Companion robots for elderly people: Using theatre to investigate potential users' views, Proceedings -IEEE International Workshop on Robot and Human Interactive Communication, pp.691-696, 2013.

W. , V. Paljic, A. Fuchs, P. Hugues, O. Chodacki et al., Assessing the acceptability of human-robot co-presence on assembly lines: A comparison between actual situations and their virtual reality counterparts, The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp.377-384, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01079580

W. , A. And-bobick, and A. , Realtime online adaptive gesture recognition, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.270-275, 2000.

W. , T. Uchihara, M. Murayama, H. Shimoda, S. Sakai et al., Human-robot collaboration in precise positioning of a three-dimensional object, Automatica, vol.45, issue.2, pp.333-342, 2009.

X. Liu, A. Tsuhan, and . Cheng, Video-based face recognition using adaptive hidden Markov models, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.340-345, 2003.