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Volume 8, issue 1
Mech. Sci., 8, 79–89, 2017
https://doi.org/10.5194/ms-8-79-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Mech. Sci., 8, 79–89, 2017
https://doi.org/10.5194/ms-8-79-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 29 Mar 2017

Research article | 29 Mar 2017

An experimental characterization of human falling down

Libo Meng et al.
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Cited articles  
Ayusawa, K., Ikegami, Y., and Nakamura, Y.: Simultaneous global inverse kinematics and geometric parameter identification of human skeletal model from motion capture data, Mech. Mach. Theory, 74, 274–284, 2014.
Chen, K., Trkov, M., Yi, J., Zhang, Y., Liu, T., and Song, D.: A robotic bipedal model for human walking with slips. In Robotics and Automation (ICRA), 2015 IEEE International Conference on (pp. 6301–6306). IEEE, 2015.
Gross, R. and Shi, J.: The cmu motion of body (mobo) database, 2001.
Gupta, J. P., Dixit, P., Singh, N., and Semwal, V. B.: Analysis of Gait Pattern to Recognize the Human Activities, arXiv preprint arXiv:1407.4867, 2014.
Hitcho, E. B., Krauss, M. J., Birge, S., Claiborne Dunagan, W., Fischer, I., Johnson, S., and Fraser, V. J.: Characteristics and circumstances of falls in a hospital setting, J. Gen. Intern. Med., 19, 732–739, 2004.
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This paper presents results of an experimental investigation on the falling down of human body in order to identify significant characteristics and parameters. Vision tracking system and suitable sensors to monitor the falling motion. Tests are discussed with results from lab tests that give both behavior and values of the biomechanics of falling down of human body.
This paper presents results of an experimental investigation on the falling down of human body...
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