Secondly, we capture the customer's step dynamics (gait). We provide sensors embedded sneakers, a technology completely internally developed, able to capture a broad range of biomechanical information. Dynamic measurements are very simple to complete, once the test shoes are worn, the customer walks for 30 seconds on a traditional treadmill, at a speed of 5 kilometers per hour.
From these short sessions, the sensors capture a wide amount of data that is interpreted by a cloud-based Ai system; the results depict a complete picture of the wearer's gait parameters: stability, foot strike patterns, energy return, step symmetry, and loads, cushioning.
Data is so rich that it could be used, with the necessary certifications, for other purposes with information such as general fitness, predicted age, fall risk, gait anomalies, etc.
The main advantage of using "in-shoe" sensors is that now we are not limited to a treadmill, but they can be worn for a longer period of time while capturing data or with short in-store walks.
The third stage is to collect personal wearing preferences. Fit is a very subjective concept, for example, a foot scanner provides accurate foot dimensions, in millimeters.
This dimension is interpreted by our brand's size chart in conventional shoe size, say 43. The final ideal wearing size can differ from the exact foot measure, in sensible ways.