- Oral presentation
- Open Access
Development of an artificial foot enabling the simulation of the natural behaviour of the human unroll of the foot during walking and running
Journal of Foot and Ankle Research volume 5, Article number: O3 (2012)
The percentage of sports and leisure shoes sold worldwide is gradually increasing. However, consumers have little or no objective information on the mechanical properties of the shoes. A justified selection protocol of sports and leisure shoes based on static and dynamic shoe properties considering the intended use is essential. Today, commonly accepted dynamic test protocols for (sports) shoes do not exist.
The development of an artificial parametric foot as part of an innovative robot gait simulator is a tool to objectify shoe properties independently from possible compensations encountered during assessment of test persons. This contribution discusses the development of an artificial foot enabling objective testing of the mechanical and functional properties of sports and leisure shoes.
Based on measurements the design of this initial foot was optimized with respect to functionality and appropriate shoe fit. The multi segment design of this foot is shown in figure 2. Optimisation was realized by changing 3 different regions: (a) orientation of the subtalar joint axis, (b) segmentation of the mid foot into 6 different slices matching realistic functional behaviour during roll off (c) segmentation of the toe section into two parts (big toe and lesser toes) to simulate a better forefoot roll off. Foot segments are connected with springs and dampers, each of them designed on literature findings and model simulations.
An improved artificial foot design with built-in springs and dampers for objective testing of shoe properties is realized. The design needs further elaboration with respect to geometry, foot axes and functional behaviour. This mechanical foot is a promising tool to help us understand mechanical properties of shoes using strictly standardised testing protocols using mechanical gait simulators.
Vertommen H, De Raeve E, Peeraer L: i-FAB Seattle. Abstract. 2010