Engineers at the Massachusetts Institute of Technology have developed a predictive model that assesses how specific shoe attributes influence a runner's performance.
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A new model, developed by MIT engineers, could be a tool for designers looking to innovate in sneaker design.
Customizing Running Experience
Recognizing the crucial role that the right pair of shoes plays in enhancing performance, MIT's model offers a potential solution to the challenges of finding the perfect fit.
This development has the potential to revolutionize the running experience for both seasoned marathoners and individuals starting their journey from a sedentary lifestyle to a 5K run, as reported by Interesting Engineering.
The study conducted by MIT engineers Jennifer Chu and Professor Anette "Peko" Hosoi introduces a straightforward yet impactful model.
It takes into account the individual characteristics of a runner, such as height, weight, and other dimensions, coupled with critical shoe properties like stiffness and midsole springiness.
Through the incorporation of relevant data, the model engages in simulations that analyze a runner's gait across a spectrum of shoes. This process facilitates the identification of footwear that not only minimizes energy expenditure but also optimizes overall performance.
While the model demonstrates proficiency in contrasting markedly different shoe types, it encounters difficulties when confronted with similar designs commonly found in various commercial running shoes.
Nevertheless, the MIT team sees the potential of their model as a valuable tool for sneaker designers who aspire to redefine innovation within the industry.
Made for Consumers
The researchers have a vision of refining the model to create a user-friendly version that consumers can utilize to select shoes tailored to their unique running styles.
In an envisioned future, individuals could send a running video, resulting in the creation of a 3D-printed custom shoe, marking a significant advancement in personalized athletic footwear.
Originating from collaborations with the sneaker industry, particularly those exploring commercial-scale 3D printing, the MIT team's model was developed in response to the rising popularity of 3D-printed midsoles.
These midsoles offered intricate and customizable designs, prompting designers to seek guidance on optimizing various shoe properties.
Taking inspiration from biomechanics pioneer Thomas McMahon, the MIT researchers employed a simplified "spring and damper" model to represent essential gait mechanics in runners.
Despite its basic nature, this model provided valuable insights into designing for athletic performance, reminiscent of McMahon's groundbreaking work in the 1970s.
Fay and Hosoi's model extends beyond conventional considerations of shoe dimensions and properties, introducing a unique element they refer to as the "biological cost function."
This intrinsic objective, recognized by most runners, involves minimizing two fundamental costs: the impact of feet on the treadmill and the energy expended by the legs.
By instructing the model to optimize these factors, the researchers gained confidence in its ability to predict a runner's gait across diverse shoe types.
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In the final stage, the team conducted simulations involving various shoe styles, utilizing the model to project a runner's gait efficiency for each variant.
This research, partially supported by Adidas and detailed in the Journal of Biomechanical Engineering, highlights MIT's commitment to advancing athletic performance and steering the future of personalized and innovative sneaker design.
As MIT engineers lead the charge, the vision of every runner acquiring their ideal pair of shoes may be only a 3D print away.
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