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Blog EyePrints - Post 17 - Final demo
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  • Author Author: amgalbu
  • Date Created: 30 Jun 2016 11:56 AM Date Created
  • Views 766 views
  • Likes 2 likes
  • Comments 2 comments
  • makelifeaccessible
  • eyeprints
  • accessibility_projects
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EyePrints - Post 17 - Final demo

amgalbu
amgalbu
30 Jun 2016

Previous posts

Post 1 - Introduction

Post 2 - Installing OpenCV - Prerequisites

Post 3 - Installing OpenCV

Post 4 - Installing Pygaze

Post 5 - Installing eye tracker

Post 6 - SPI communication

Post 7 - SPI communication in Python

EyePrints - Post 8 - Getting started with Kinetis

EyePrints - Post 9 - Mechanical design

EyePrints - Post 10 - Mechanical design: the plotter

EyePrints - Post 11 - Eye tracker software

EyePrints - Post 12 - Getting started with the kit

EyePrints - Post 13 - KDS Project

EyePrints - Post 14 - The drawing board

EyePrints - Post 15 - The plotter

EyePrints - Post 16 - The unhappy end

 

In this post, I will pack up everything I built and developed during this challenge. First of all, here is the wiring between the Freedom Board and the Raspberry Pi

 

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This is the webcam mounted on a baseball cap

 

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Before using the tracker, a calibration is required

 

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Now, EyePrints can run!

 

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Final considerations

I never used the Freedom board, but I really appreciated the quality of the board, the number of peripherals available (including the accelerometer), the easyness of use of the IDE and the completeness of the examples.

 

The motor controller board I think is a bit less mature than the Freedom board. There are some useful tools that calculated the parameters for the control algorithm, but it's not easy to add your custom to the generated project. Probably a cleaner project structure would include fewer code in the main function. Also, some comments like "Add your code here" would help users

 

Provided control algorithms seem to work very well. I tested the sensorless speed control, and the motor speed is quite constant with smooth ramps

 

The only disappointing thing is that the challenger's kit components had a very limited availability. This prevents me from completing the project. However, the eyetracker proved to be enough precise and not so difficult to get accustomed to. Strange to say, bu the webcam in front of your eyes is almost "invisible", in that it does not interfere with your sight. So, should the motor controller and the motor itself have been available on time, I'm quite confident I would have been able successfully complete this project

Attachments:
Source code.zip
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Top Comments

  • DAB
    DAB over 9 years ago +1
    Good summary and demo of eye tracking. I can see a lot of uses for your basic software. Once you get the camera calibrated, you could control a quadcopter, RC vehicle or aircraft, or just use it for basic…
  • amgalbu
    amgalbu over 9 years ago

    Thank you DAB

    You are right: the eye tracker could be used as a basic "mouse".

    To stay in the challenge topic, it could be used to control a wheel chair

     

    Cheers

    Ambrogio

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  • DAB
    DAB over 9 years ago

    Good summary and demo of eye tracking.

     

    I can see a lot of uses for your basic software.  Once you get the camera calibrated, you could control a quadcopter, RC vehicle or aircraft, or just use it for basic device control.

     

    Nice project, well done.

     

    DAB

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