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Towards Customized Footwear with Improved Comfort.

Rafaela TeixeiraCarlos CoelhoJoão OliveiraJoana GomesVera Vaz PintoMaria José FerreiraJoão Miguel NóbregaAlexandre Ferreira da SilvaOlga Sousa Carneiro
Published in: Materials (Basel, Switzerland) (2021)
A methodology enabling the customization of shoes for comfort improvement is proposed and assessed. For this aim, 3D printed graded density inserts were placed in one of the critical plantar pressure zones of conventional insoles, the heel. A semi-automated routine was developed to design the 3D inserts ready for printing, which comprises three main stages: (i) the definition of the number of areas with different mesh density, (ii) the generation of 2D components with continuous graded mesh density, and (iii) the generation of a 3D component having the same 2D base mesh. The adequacy of the mesh densities used in the inserts was previously assessed through compression tests, using uniform mesh density samples. Slippers with different pairs of inserts embedded in their insoles were mechanically characterized, and their comfort was qualitatively assessed by a panel of users. All users found a particular pair, or a set, of prototype slippers more comfortable than the original ones, taken as reference, but their preferences were not consensual. This emphasizes the need for shoe customization, and the usefulness of the proposed methodology to achieve such a goal.
Keyphrases
  • machine learning
  • high throughput
  • clinical practice