This project is to develop a wheel chair for physically disabled people
The wheel chair is controlled by hand movement/hand gestures
The gestures are recognized by an accelerometer sensor
An ultrasonic sensor is used to detect the obstacles in front of the chair
The signals from the sensors are processed, and the wheel chair is controlled by Atmega-328 micro controller
2. ABSTRACT
This project is to develop a wheel chair for physically disabled people
The wheel chair is controlled by hand movement/hand gestures
The gestures are recognized by an accelerometer sensor
An ultrasonic sensor is used to detect the obstacles in front of the chair
The signals from the sensors are processed, and the wheel chair is
controlled by Atmega-328 micro controller
3. OUTLINE OF PRESENTATION
Introduction and motivation
Background and literature review
About the project(Hardware and software info)
Conclusion and future scope
References
Demo
4. INTRODUCTION AND
MOTIVATION
Wheel chair is the best assistive device used by elder and
disabled people
The driving and controlling of traditional wheel chair are much
harder task
Our aim is to build a low cost and powerful wheel chair which
helps the handicapped people to travel without depending
others.
Introducing a prototype of cost effective electronic gesture
based wheel chair
Easy to operate, because this wheel chair can operated even by
a user without palm
6. Arduino UNO
Arduino UNO is a microcontroller board based on
the
ATmega-328
It has
14 digital input/output pins(of which 6 can be
used
as PWM outputs)
6 Analog inputs
A 16 MHz crystal oscillator
A USB connection, a power jack
A reset button
Arduino UNO
7. Arduino IDE
Open-source Arduino software(IDE) that makes
easy to write code and upload it to the board
It runs on Windows, Mac OS X and Linux
It is a cross platform application written in Java
It includes a code editor with features such as
syntax highlighting, brace matching and
automatic indentation
It provides simple one-click mechanism for
compiling and loading programs in to an Arduino
board
Arduino IDE
8. Accelerometer Sensor
Accelerometer sensor is used to recognize the hand
gestures
It recognizes the acceleration(tilting) of the hand in
both X and Y-axes
It produces different numerical values corresponding
to the direction of acceleration
Accelerometer
9. Ultrasonic Sensor
Ultrasonic sensor is used to sense the obstacle in front of the
chair.
It calculates the distance by producing ultrasonic waves.
It has an ultrasonic transmitter and a receiver
The distance is calculated using the expression
distance=(duration/2)*.034
Where ,
duration : the time interval between transmission and
reception
0.034 is the speed of sound in centimeter per microseconds
Ultrasonic
10. Motor Driver and DC Motor
The L293D is a 16-pin IC with 8 pins on each side
It is dedicated to the controlling of a motor
An L293D can control 2 motors simultaneously
2 input pins,2 output pins and 1 enable pin for
each motor
Motor driver IC
DC Motor
11. ABOUT THE PROJECT
Hardware components:
Accelerometer sensor
Ultra sonic sensor
Arduino UNO
Software component:
Arduino IDE
19. EXPERIMENTAL VALIDATION AND
RESULT
The system was successfully implemented to move the
wheel chair Left, Right, Forward, Backward or Stay in
the same position
The wheel chair detect the obstacle at the front and
stop the movement.
20. FUTURE SCOPE
Automated wheel chair can be operated by a wireless
remote which can reduce the wiring arrangements
Instead of using acceleration motion we can use eye retina
using optical sensor to move wheel chair accordingly
We can use voice command IC’s to interface our voice
signal with micro-controller
This system can be extended by including GSM which sends
an SMS during emergency
Research are going on development of handicap wheel
chair using nervous system of human
21. CONCLUSION
Automated wheel chair can be used to help handicapped
people, especially those who are not able to move
The system was successfully implemented to move the
wheel chair Left, Right, Forward, Backward or Stay in
the same position
22. REFERENCES
[1] Rakhi A. Kalantri, D.K. Chitre ,“Automatic Wheelchair using Gesture Recognition” in
International Journal of Engineering and Advanced Technology (IJEAT) 2013,pp.146-150
[2] Manisha Devi, B.Anil Kumar, “Accelerometer Based Direction Controlled Wheelchair Using
Gesture Technology” in International Journal of Scientific Engineering and Technology,2014,pp :
1065-1070
[3] V Sundara Siva Kumar,G.Ramesh, P Nagesh “Hand Gesture Based Wheelchair Movement Control
for Disabled Person Using MEMS” International Journal of Scientific Engineering and Technology
2015
[4] Prof. Vishal V. Pande, Nikita S.Ubale, Darshana P. Masurkar, Nikita R. Ingole, Pragati P “ Hand
Gesture Based Wheelchair Movement Control for Disabled Person Using MEMS” in International
Journal of Engineering Research and Applications,April 2014, pp:152-158
[5] Arduino website, http://arduino.cc/en/Main/arduinoBoardMega