Controlling a Wheelchair with facial expressions. Demo: https://www.youtube.com/watch?v=gwqNMYqb8f0

1. JoyFace - Facial Expressions for
Controlling a Wheelchair
Suzana Mota
Paper executável desenvolvido na disciplina IA369Z - Reprodutibilidade em Pesquisa
Computacional - FEEC - Unicamp - 2017

2. World Reality
1 billion people with some form of disability
200 million with motor disabilities
Source: World Health Organization, 2011

3. Brazilian Reality
45 million people with disability
13 million of them suffer from severe motor disabilities
Source: IBGE, 2010

4. Objectives
- Develop solutions for people with disabilities.
- Use Computer Vision.
- Could be integrated into the master's project.

5. The First Project Idea
- Smile Classification with Machine Learning Techniques
- https://github.com/suzanasvm/SmileFace/blob/master/dev/SmileFace
_052517_PaperPreviewV1.ipynb

6. Some tests were performed

7. But the project changed...

8. JoyFace Project

9. New Objectives
- Solution for controlling a wheelchair using just the face.
- Low Cost: Regular WebCam
- Simple to use

10. The commands

11. Workflow

12. WorkFlow

13. WorkFlow

14. WorkFlow

15. WorkFlow

16. Dependencies
- Jupyter Notebook with Python 2.7
- OpenCV 3.1.0
- Matplot Lib 2.0.2
- Software V-REP

17. https://www.youtube.com/watch?v=gwqNMYqb8f0

18. Problems
V-REP Integration
- How to Open V-REP in Ubuntu environment.
- How to Open the V-Rep Scene.
- Remote API Files.

19. Improvements
- Use guidelines for software simulation V-REP
- Interface improvements
Old Version New Version

20. The project it’s available here:
- https://github.com/suzanasvm
For more information:
- suzana.svm@gmail.com