The document summarizes the LookOmotive project which aims to help handicapped people live independently without assistance by developing a technology that allows them to control their wheelchair using their cognitive states as detected through EEG brain signal processing. The project objectives are outlined as well as the motivation, a high-level overview of the system architecture, and initial time plan. Key technologies involved include the Emotiv EPOC headset and SDK for EEG signal collection and an emulator, LookOmotive SDK, and service for signal processing and wheelchair control.

1. LookOmotiveThink About … Move Around

2. TeamSupervisors

3. Prof. Dr. Mostafa Gad

4. Dr. Howaida Abd El Fatah

5. Dr. Safwat Hamad

6. T.A Ramy Medhat

7. Members

8. Mina Osama Fayek - Computer Science department

9. Mona Mohamed - Scientific Computing department

10. Mostafa Saeed - Scientific Computing department

11. Nour Galal - Information Systems department

12. Ossama Moussa - Scientific Computing departmentAgendaProblem statement

13. Objective

14. Motivation

15. Description

16. LookOmotive overview

17. Previous approaches

18. EEG signal processing

19. Basic system architecture

20. Time Plan

21. Tools, technologies and SWE methodology

22. ReferencesProblem StatementFor the time being handicaps need human assistance to perform their everyday activities.ObjectivesHelp Handicaps to live independently without others assistance.

23. Learn about EEG signal processing to detect cognitive states.

24. Develop a generic SDK that can support different applications (Ubiquitous environment).

25. Dealing with unfamiliar technologies and tools.

26. To be a good representative of Egyptian developers (Imagine Cup: Poland 2010)-for more info…List location or contact for specification (or other related documents)