Desenvolvimento de um protótipo de baixo custo de uma palmilha eletrônica para detecção do tipo de pisada utilizando sensores piezoelétricos

Abstract

This document aims to present the development of a low-cost prototype of an electronic insole to detect the type of footsteps using piezoelectric sensors, which was developed in a laboratory bench. This system has the purpose of collecting data using piezoelectric sensors installed in the insoles and together with the ESP32 WIFI LORA board to carry out a preview of the identification of the type of footsteps of an individual, namely: normal foot, flat foot, cavus foot, supinated and pronated foot, The test will be performed through simple steps, this number of steps being chosen by the user and after the steps the system will collect and analyze the result. The system will be in real model and the data transmission will be carried out by Wifi data network using the ESP32 WIFI LORA board as the transmission medium. First, it starts with the theoretical foundation on the human foot, the classifications of the types of footsteps, types of baropodometry and later the technologies used in the project, namely: voltage measurement using piezoelectric sensors, designs of insoles under test and positioning of sensors using inventor software, control board and circuit development with ESP32 WIFI LORA and software such as: Arduino IDE, Inventor, XAMPP, Xamarin.Forms, Visual Studio IDE and Fritzing design software. Then, methods and materials in which it shows the stages of project development and the materials that were used, as well as the assembly of the project, drawings of the insoles and electronic circuits, flowchart of the project and the tests carried out for its validation, in which the insole was installed on a shoe number 42 and tests were carried out for analysis. Subsequently, the result of the analysis is presented through the mobile application, as well as a preview of the identification of the type of footsteps through a graphical interface to visualize the results. Finally, it is concluded that through the data collected using piezoelectric sensors, together with the ESP32 WIFI LORA board, communication software, IoT database (internet of things) and mobile application, it becomes a viable alternative for a project design low cost of an electronic insole to detect the type of step using piezoelectric sensors.