Yutian Fan¹, Yu Sun² and Fangyan Zhang³, ¹Milton Academy, USA, ²California State Polytechnic University, USA ³ASML, USA

Running is one of the most important and simple sports spanning various ages, which can train throughout body and muscle. For running, proper shoes not only improve runners’ performance but also protect them from injury to some extent. However, runners have difficulty in finding a pair of shoes which fit runners’ gait patterns and feet shape very well. The process of selection of shoes is not effective and necessarily accurate. In this paper, we propose a new tool which facilitates the process by employing electronic sensors to the insoles of shoes and collecting feet information for runner accurately. It is helpful for runners to find the best fit shoes.

Machine learning, Firebase, Mobile application, Model fitting.