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Ocular Prosthesis Team Members: Adam Lee, EE Faculty Advisors:

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Presentation on theme: "Ocular Prosthesis Team Members: Adam Lee, EE Faculty Advisors:"— Presentation transcript:

1 Ocular Prosthesis Team Members: Adam Lee, EE Faculty Advisors:
May0013 Team Members: Adam Lee, EE Juhaidi Abd-Hamid, EE Ryan Littler, CprE Brian Mestan, CprE Faculty Advisors: Dr. Ralph Patterson III Dr. Charles Wright

2 Presentation Overview
Problem Statement Design Objectives End-product Description Assumptions & Limitations Technical Description Project Planning Lessons Learned Conclusion

3 Problem Statement People suffering from severe disorders, such as ALS and cerebral palsy, are unable to perform basic tasks due to loss of muscle control. Surprisingly, basic eye movement is left unimpaired. Eye motion can be detected allowing the disabled access to a variety of devices. Our project focuses on using eye movement to control a wheelchair.

4 Design Objective Design an interface to control an electronic wheelchair by using eye movement rather than joystick. Requirements and constraints: Controlled by simple eye movements Safety features Full 360-degree movement Compact to fit on wheelchair Shock and temperature resistant Inexpensive (~ $100)

5 End-product Description
Basic prototype has been developed that detects electrooculogram (EOG) signals from the body and uses them to control an electronic wheelchair. Uses simple commands, safe to use, and allows full 360-degree of travel.

6 Assumptions & Limitations
EOG of sufficient strength to use as a control signal. Similar EOG signals across users. Similar EOG signals for similar electrodes. Correct placement of electrodes.

7 Assumptions & Limitations
Simple eye movements for commands = only simple wheelchair motions. Device must be “tuned” for each user. Wheelchair must stop before turning. Forward movement may begin off-center. New electrodes required for each session.

8 Technical Approach Electrooculogram (EOG)
Biological phenomenon (like ECG, EEG). Small positive charge at front of the eye. Micropotential created by eye movement (100 uV). Electrodes can detect this potential in regions around eyes.

9 Technical Description

10 Filter/Amplifier Design
Function: Convert micropotentials into useable input for microcontroller.

11 Filter/Amplifier Design
Problem/Solution: Research to determine best placement and type of electrodes. Small signal levels(20-50uV) – Amplification. Noisy signals – Filtering.

12 Filter/Amplifier Design
Implementation: Instrumentation Amplifier High-Pass Filter Amplification Offset Adjust Microcontroller

13 Microcontroller Design
Functions: Decode eye movements into corresponding wheelchair movements. Provide emergency stop capability and other safety features. Distinguish “real commands” from noise and errant signals.

14 Microcontroller Design
Eye movement decoding: Look Up = High voltage Look Down = Low voltage Look Right = High voltage Look Left = Low voltage Blink = similar to a look up

15 Microcontroller Design
Eye movement encoding:

16 Microcontroller Design
Eye movement decoding:

17 Microcontroller Design
Eye movement decoding:

18 Microcontroller Design
Eye movement decoding:

19 Microcontroller Design
Eye movement decoding:

20 Microcontroller Design
Eye movement decoding:

21 Microcontroller Design
Eye movement decoding:

22 Microcontroller Design
Eye movement decoding:

23 Microcontroller Design
Eye movement decoding:

24 Microcontroller Design
Eye movement decoding:

25 Microcontroller Design
Eye movement decoding:

26 Microcontroller Design
Eye movement decoding:

27 Microcontroller Design
Eye movement decoding:

28 Microcontroller Design
Eye movement decoding:

29 Microcontroller Design
Implementation: Development on MIT Handy Board

30 Microcontroller Design
Implementation: MCHC11A1FN 8bit – 8 channel A/D 32KB battery-protected static RAM 2MHz system clock Interactive C compiler – allows multitasking

31 Wheelchair Interface Function:
Emulate joystick of wheelchair using signals from microcontroller.

32 Wheelchair Interface Problem/Solution:
Cannot use the microcontroller output directly to control wheelchair. Circuit is needed to convert microcontroller outputs into signals that are typically seen from the joystick.

33 Wheelchair Interface Implementation: Wheelchair based off 5.9V signal.
To move chair – 5.9V signal is raised or lowered by summing with signal from microcontroller. Op-amps used to implement summing circuit.

34 Demonstration

35 Milestones

36 Future Work Further development of this design with the
following features: Smoother wheelchair motion. More accurate wheelchair motion. Self-adjusting circuitry for Amplifier/Filter. Speed control. All purpose interface (control other devices).

37 Financial Budget * Donated

38 Team Effort

39 Lessons Learned General project skills: Technical skills:
Project planning Distribution of work Adhering to project milestones Communication among team members Weekly meetings with advisor Technical skills: C programming and multitasking Amplifier and filter design Biomedical engineering (in form of EOG)

40 Conclusion Designed basic prototype for future development.
Meaningful project with important solution. Proof of concept that opens up a wide-range of other devices to disabled.

41 Questions ?


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