Eye Controlled Electric Wheelchair

 Eyes Controlled Electric Wheel Chair: ECEWC is proposed. The proposed ECEWC is controlled by human eyes only. Therefore disabled person can control the ECEWC by themselves. Most of the computer input system with human eyes only consider in specific condition and doe

Project Title

Eye Controlled Electric Wheelchair

Project Area of Specialization

Artificial Intelligence

Project Summary

 Eyes Controlled Electric Wheel Chair: ECEWC is

proposed. The proposed ECEWC is controlled by human eyes

only. Therefore disabled person can control the ECEWC by

themselves. Most of the computer input system with human eyes

only consider in specific condition and does not work in a real

time basis. Moreover, it is not robust against various user races,

illumination conditions, EWC vibration, and user's movement.

Though experiments, it is found that the proposed ECEWC is

robust against the aforementioned influencing factors. Moreover,

it is confirmed that the proposed ECEWC can be controlled by

human eyes only accurately and safely

Project Objectives

The main objectives of our project is to gather all of the below methods in one Wheelchair.

(1) Bio-potential based method which utilizes potential

from user's body actions acquired by using special

instrument. Instrument such as Electrooculograph

(EOG), Electromyograph (EMG) , and

Electroencephalograph (EEG) , Search coil can

be used for measuring bio-potential. The search coil

output can be used as sources of computer input for

handicap person. EOG method uses voltage

differences between fore and aft surface of eyes.

(2) Voice Based method, which use user's voice as

source input. Voice analysis is used to analyze user's

voice and convert into digital data. The weakness of

this system is vulnerable against noise. Other voices

which come from surrounding user may affect the

system.

(3) Motion based method, utilizes other normal

movement organs to operate computer input. Head,

foot, and etc can be used to control computer input.

Project Implementation Method

Hardware configuration of the proposed EBEWC is shown 
in Fig.1. 

Figure 1. Hardware Configuration
Netbook of Asus EeePC with 1.6 GHz Intel Atom 
processor, 1GB of RAM, 160GB hard drive, and run Windows.

XP Home edition is used. We develop our software under C++

Visual Studio 2005 and Intel provided OpenCv image

processing library [21]. The proposed EBEWC system utilizes

infrared web camera, NetCowBoy DC-NCR 131 as face image

acquisition in a real time basis. This camera has IR Light

Emission Diode: LED. Therefore it is robust against

illumination changes. In order to allow user movement and

EWC vibration, IR Camera mounted glass is used. The distance

between camera and eye is set at 15.5 cm as shown in Fig.2.

The EBEWC uses Yamaha JWX-1 type of EWC which is

controlled by human eyes only through microcontroller of

AT89S51. This microcontroller can convert serial output from

Netbook to digital output for control.

In order to control EWC using Netbook PC, custom micro

controller circuit is used to modify standard control of Yamaha

EWC. Default control of the EWC is made by joystick. Micro

controller is replaced to the joystick. Command is delivered by

Netbook PC, and then micro controller works to move EWC.

USB interface on Netbook PC is used to connect with the other

peripheral. The interface of the micro controller circuit is

RS232. To connect between Netbook PC and the micro

controller, USB to Serial converter is used. The micro

controller is driven by the relay equipped with the EWC.

Benefits of the Project

Below are the benefits of the project.

(1) It allows user movement: User can move during using

the proposed EBEWC system in directions in the

allowable distance of which the camera mounted on

the glass acquires user face.

(2) It does not require any calibration process before using

the proposed EBEWC system,

(3) It is robust against immunization changes, additive

noises, vibrations to the EWC, user nationality

(different color of eye as well as skin, size, and shape

of eye), eyelid influence, and shade and shadow,

(4) Pupil center detection accuracy for the acceptable

angle range is almost 0.2 degree,

(5) Even if pupil center is not detected when user close eye,

gaze location is estimated with the knowledge of

previously detected pupil center location.

Technical Details of Final Deliverable

The final deliverable will be a electrical wheelchair that can be controlled using eye balls and can aslo detect it's sorroundings so that the person on it can not collide with any thing comes in his/her way.

Final Deliverable of the Project

Hardware System

Core Industry

Medical

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Internet of Things (IoT)

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com