E. Schneider, X. Irastorza, M. B. Roozeboom, and I. Houtman, Osh in figures: occupational safety and health in the transport sector-an overview, 2010.

G. Li and P. Buckle, Current techniques for assessing physical exposure to work-related musculoskeletal risks, with emphasis on posture-based methods, Ergonomics, vol.34, issue.5, pp.674-695, 1999.
DOI : 10.1109/10.412663

K. Schaub, G. Caragnano, B. Britzke, and R. Bruder, The European Assembly Worksheet, Theoretical Issues in Ergonomics Science, vol.36, issue.7, pp.616-639, 2013.
DOI : 10.1080/00140139308967940

T. Bossomaier, A. G. Bruzzone, A. Cimino, F. Longo, and G. Mirabelli, Scientific Approaches For The Industrial Workstations Ergonomic Design: A Review, ECMS 2010 Proceedings edited by A Bargiela S A Ali D Crowley E J H Kerckhoffs, pp.189-199, 2010.
DOI : 10.7148/2010-0189-0199

S. Ivaldi, L. Fritzsche, J. Babic, F. Stulp, M. Damsgaard et al., Anticipatory models of human movements and dynamics: the roadmap of the andy project, Proc. International Conf. on Digital Human Models (DHM), 2017.
URL : https://hal.archives-ouvertes.fr/hal-01539731

O. D. Lara and M. A. Labrador, A Survey on Human Activity Recognition using Wearable Sensors, IEEE Communications Surveys & Tutorials, vol.15, issue.3, 2013.
DOI : 10.1109/SURV.2012.110112.00192

H. Junker, O. Amft, P. Lukowicz, and G. Tröster, Gesture spotting with body-worn inertial sensors to detect user activities, Pattern Recognition, vol.41, issue.6, pp.2010-2024, 2008.
DOI : 10.1016/j.patcog.2007.11.016

URL : http://luci.ics.uci.edu/predeployment/websiteContent/weAreLuci/biographies/faculty/djp3/LocalCopy/sdarticle5.pdf

J. K. Aggarwal and L. Xia, Human activity recognition from 3D data: A review, Pattern Recognition Letters, vol.48, pp.70-80, 2014.
DOI : 10.1016/j.patrec.2014.04.011

L. , L. Presti, and M. L. Cascia, 3D skeletonbased human action classification: A survey, Pattern Recognition, vol.53, pp.130-147, 2016.

F. Attal, S. Mohammed, M. Dedabrishvili, F. Chamroukhi, L. Oukhellou et al., Physical Human Activity Recognition Using Wearable Sensors, Sensors, vol.10, issue.12, pp.31-314, 2015.
DOI : 10.1145/1961189.1961199

URL : https://hal.archives-ouvertes.fr/hal-01352101

A. Y. Yang, S. Iyengar, P. Kuryloski, and R. Jafari, Distributed segmentation and classification of human actions using a wearable motion sensor network, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.1-8, 2008.
DOI : 10.1109/CVPRW.2008.4563176

A. Dubois and F. Charpillet, Human activities recognition with RGB-Depth camera using HMM, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp.4666-4669, 2013.
DOI : 10.1109/EMBC.2013.6610588

URL : https://hal.archives-ouvertes.fr/hal-00914319

C. Mandery, M. Plappert, J. Borras, and T. Asfour, Dimensionality reduction for whole-body human motion recognition, Information Fusion (FUSION), 2016 19th International Conference on, pp.355-362, 2016.

M. Wächter and T. Asfour, Hierarchical segmentation of manipulation actions based on object relations and motion characteristics, 2015 International Conference on Advanced Robotics (ICAR), pp.549-556, 2015.
DOI : 10.1109/ICAR.2015.7251510

E. Coupeté, F. Moutarde, S. Manitsaris, and O. Hugues, Recognition of Technical Gestures for Human-Robot Collaboration in Factories, The Ninth International Conference on Advances in Computer-Human Interactions, 2016.

D. Roetenberg, H. Luinge, and P. Slycke, Xsens MVN: full 6DOF human motion tracking using miniature inertial sensors Xsens Motion Technologies BV