Palmilha de calcanhar para detecção de pisada
When buying footwear, besides visual appeal, the consumer is looking for comfort. However, in many cases, as for runners, more importantly than apparently felling good when trying out the shoe, is to know if it is ideal for your type of foot (Pronated, Supinated or Normal). When pronated, the foot t...
| Principais autores: | Lopes, André Vitor de Palma, Barcat, Iuri Michelan, Ruiz, Stefany Aoto Rojas |
|---|---|
| Formato: | Trabalho de Conclusão de Curso (Graduação) |
| Idioma: | Português |
| Publicado em: |
Universidade Tecnológica Federal do Paraná
2020
|
| Assuntos: | |
| Acesso em linha: |
http://repositorio.utfpr.edu.br/jspui/handle/1/8163 |
| Tags: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|
| Resumo: |
When buying footwear, besides visual appeal, the consumer is looking for comfort. However, in many cases, as for runners, more importantly than apparently felling good when trying out the shoe, is to know if it is ideal for your type of foot (Pronated, Supinated or Normal). When pronated, the foot touches the ground more with its inside, the contrary happens when supinated. Many footwear, mainly the ones destinated for runners, are specially crafted for each one of these types, but very rarely the normal consumer (non-athlete) is aware of this condition, and neglecting it may lead to several osteomioarticular problems like shin splints, articular degeneration and even more serious lesions. Nowadays, baropodometry platforms equipped with thousands of sensors are used in the clinics. These platforms, in general, are used staticly, that means, the patient does not move on it. The objective of this work is to craft an insole of accessible cost, adapted for the heel, equiped with 3 pressure sensors that can help the doctor diagnose the user’s type of foot. With the utilization and interpretation of 3 pressure sensors that measure the point where higher pressure is applied on the heel, there is a possibility of indicating the profile of the patient’s foot. A microcontroller was used to read the sensors and to communicate with a center station. The micro used is the Arduino Mega, the sensors are circular FSR Adafruit and the Wi-Fi model used is ESP8266. In the end, the tests made are presented and there is a discussion concerning the reached results. |
|---|