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


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.

Full Text  Volume 10, Number 12