Volume 10, Number 12, October 2020

A Smart Internet-of-Things Application for Shoe Recommendations using Pressure Sensor and Raspberry PI

  Authors

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

  Abstract

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.

  Keywords

Machine learning, Firebase, Mobile application, Model fitting.