Scientific area: Robótica
Insoles FSR System
Submited 2017-01-25
Student: LuÃs Orlando Leite Costa Number: 68560 Email: luisorlandocosta2@gmail.com
Start date: 01/10/2016
Supervisor:
Name: Cristina Manuela Peixoto dos Santos
Email: cristina@dei.uminho.pt
Description:
This project has as main objective to develop a system that, through the analysis
of the signals from the FSR sensors, allows to determine the di erent phases of the
human gait.
The rst goal is to integrate the FSR sensors into insoles and develop the circuits
that allow the sensors to be properly calibrated. The second objective is to program
the Arduino ATmega 328P (Arduino Uno) boards, associated with each foot, so that
it is possible to acquire the signals from the sensors and send them to the Arduino
ATmega 2560 (Arduino Mega). To do so, it will be necessary to implement a wireless
communication algorithm (in this case radiofrequency) so that the signals are sent
successfully and reliably. The third objective is to develop bluetooth communication so
that the data received by the motherboard is sent to a computer. The last objective is
to develop a graphical interface in C# that allows the physician or physiotherapist to
observe in real time the signals of the sensors resulting from the patient\'s gait, as well
as to store the data in a le for later analysis in more detail.
Objectives:
Human gait analysis, using intelligent sensor technology, is an important medical
diagnostic process and has many applications in rehabilitation like therapy and physical
training. This analysis is commonly conducted in a motion analysis laboratory with
expensive but highly accurate systems. This thesis proposes to develop cost-e ective,
lightweight and calibrated instrumented insoles for real-time monitoring of gait events
in healthy, pathological and robotic-assisted gait, for distinct walking conditions. In
this context, the main objective is to develop a system that through the analysis of
signals from the Force Sensitive Resistor (FSR) sensors, allows to identify the di erent
phases of the human gait. To this end, be developed the hardware and software that
allows identifying march events. This approach pretends to integrate four FSR sensors
into each insole, develop all the electronic circuits that allow the correct acquisition of
the signals and sending them through radio modules to a master plate. After that data
is sent to a computer via bluetooth for analysis in real time and oine.
Copyright © DEI Minho University - All rights reserved
Powered by