INTERNAL GUIDE: Mr. S.SIVAKUMAR M.E.,BATCH:

S.IYYAPPAN B.E.,G.MURALI B.E.,K.SATHISH B.E.,

ABSTRACT: When an unfortunate event affects the motor

capacity of a person, it is necessary to use devices like

wheelchairs that offer a means o displacement for

patients with motors problems of the lower limbs.

Some patients that cannot manipulate the wheelchair

with their arms due to a lack of force or psychomotor

problems in the superior members, request electric

wheelchairs, frequently manipulated with joysticks;

however the joystick manipulation is even not

practical and frequently it must be handle with the

mouth.

The present article presents the partial results in

the development of a wheelchair controlled by an

intuitive interface, where the instructions are given

by hand gesture instructions.

The advances are presented in the realization of

the control software using a Webcam and some

distances and presence sensors controlled by a PIC

microcontroller that establishes the communication

with a program developed in Labview.

BLOCK DIAGRAM:

EXISTING SYSTEM:

Joystick is used to control the wheelchair.

Another type of wheelchair controller is by

means of voice recognition.

EXISTING SYSTEM DISADVANTAGE:

Joystick method is difficult to handle for some

handicapped and aged people.

Voice recognition method is very dangerous

because it can act by some external noise in the

environment.

PROPOSED SYSTEM:

It continuously capturing the image of the person

and his image is compared with data base.

By means of his hand movements wheelchair

moves.

If hand movement is up= front, down=

backwards, right= turn right, left= turn left moves

by the wheelchair.

PROPOSED SYSTEM ADVANTADES:

It can be operated by one who seating in that

chair only not affected by external hand

movements.

In this system is easy to handle by any type of

users by the combination of image processing with

embedded it works perfectly.

SOFTWARE REQUIRED:

Digital image processing for hand gesture

control.

Labview for wheelchair control.

DOMAIN:

Embedded along with Digital Image Processing.

REFERENCE:

[1]. Amundson JS, Amundson SG., “A joystick controlled wheelchair.”, Biomed Sci Instrum. 1991;27:131-

3.

[2]. T. Gomi and A. Griffith, “Developing intelligent wheelchairs for the handicapped,” Lecture Notes in

AI: Assistive Technology and Artificial Intelligence, Springer, vol. 1458, pp. 150– 178, 1998.

[3]. Humberto semeno-Villalta and jhon Spletzer, “Vision-based Control of a Smart Wheelchair for the

Automated Transport and Retrieval System (ATRS)”, p.1, Department of Computer Science and

Engineering Lehigh University, 2005.

[4]. Trahanias, P. E. and et al. 1997. ”Navigational support for robotic wheelchair platforms: an approach

that combines vision and range sensors” Proceedings of the 1997 IEEE International Conference on

Robotics and Automation, Albuquerque, NM, 1265-70.