Articles | Volume 8, issue 2
Research article
16 Nov 2017
Research article |  | 16 Nov 2017

A new methodology to identify minimum strain anatomical lines based on 3-D digital image correlation

Jorge Barrios-Muriel, Francisco Javier Alonso Sánchez, David Rodríguez Salgado, and Francisco Romero-Sánchez

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Cited articles

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Annaidh, A. N., Bruyère, K., Destrade, M., Gilchrist, M. D., Maurini, C., Otténio, M., and Saccomandi, G.: Automated estimation of collagen fibre dispersion in the dermis and its contribution to the anisotropic behaviour of skin, Ann. Biomed. Eng., 40, 1666–1678,, 2012a.
Annaidh, A. N., Bruyère, K., Destrade, M., Gilchrist, M. D., and Otténio, M.: Characterization of the anisotropic mechanical properties of excised human skin, J. Mech. Behav. Biomed. Mater., 5, 139–148,, 2012b.
Begonia, M., Dallas, M., Johnson, M. L., and Thiagarajan, G.: Comparison of strain measurement in the mouse forearm using subject-specific finite element models, strain gaging, and digital image correlation, Biomech. Model. Mechan., 16, 1243–1253,, 2017.
Blenkinsopp, R., Harland, A., Price, D., Lucas, T., and Roberts, J.: A method to measure dynamic dorsal foot surface shape and deformation during linear running using digital image correlation, Procedia Engineer., 34, 266–271,, 2012.
Short summary
The design of these devices involves the human body as a support environment. Based on this premise, the development of wearable devices requires an improved understanding of the skin strain field of the body segment during human motion. This paper presents a new methodology to improve and optimize the design of wearable devices, specifically orthoses, based on the combination of biomechanical studies, computer aided design/computer aided engineering (CAD/CAE) tools and 3D printing technology.