Objective
The project is based on an identified market gap: podiatrists often lack knowledge and experimental data to decide which specific shoe-insole combination-and their corresponding materials-are suitable for a patient. The project aims at developing a set of computer tools to assist a podiatrist in achieving the best therapeutic prescription for a patient. SMARTPIF will provide them with a tool to obtain a prediction of pressures to be exerted in whatever point of the foot during a gait cycle by means of a particular shoe-insole combination and a specific set of materials. Moreover, the patient will be able to virtually try-on the selected shoes (not yet manufactured/not available at the podiatric clinic). The system will produce technological products and devices to be commercialized and the full integration system: 4D scanning device to digitise the patient's foot in dynamic conditions; software to predict foot pressures and visualise in 3D (over patient's digitised foot); insole design software and a virtual mirror for visualization of selected shoes, superimposed onto the real image of the patient. 4 RTDs will lead the RTD activities, under the perspective of the (user and/or market) needs and application possibilities of 5 SMEs that connect the project with the market. They bring together expertise in all required areas: biomechanics, clinical health care treatment, footwear and insoles design and customisation, software development, 3D imaging and scanning neural networks. The challenge will be to provide podiatrists with tools that will allow them to create a footwear-insole prescription suitable for the specific pathology of patients, in a user-friendly environment, without requiring complex technical operations. The podiatric sector will be the focus. Lack of awareness by podiatrists regarding footwear-insole needs of their patients and poor availability of tools to assist them create a significant barrier for SMEs trying to access these markets.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencescomputer and information sciencessoftwaresoftware development
- medical and health sciencesbasic medicinepathology
- natural sciencesbiological sciencesbiophysics
- natural sciencescomputer and information sciencesartificial intelligencecomputational intelligence
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Topic(s)
Call for proposal
FP7-SME-2012
See other projects for this call
Funding Scheme
BSG-SME - Research for SMEsCoordinator
03600 Elda Alicante
Spain