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HAND GESTURE CONTROLLED
WHEEL CHAIR
MINI PROJECT
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
OUTLINE OF PRESENTATION
 Introduction and motivation
 Background and literature review
 About the project(Hardware and software info)
 Conclusion and future scope
 References
 Demo
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
BACKGROUND INFORMATION
 Arduino UNO
 Arduino IDE
 Accelerometer
 Ultrasonic sensor
 Motor Driver and DC Motor
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
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
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
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
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
ABOUT THE PROJECT
 Hardware components:
 Accelerometer sensor
 Ultra sonic sensor
 Arduino UNO
 Software component:
 Arduino IDE
Wheel chair architecture
Interfacing of Accelerometer with Arduino
Pin in sensor Port in Arduino
VCC 5V
GND GND
SCL A5
SDA A4
Interfacing of ultrasonic sensor with Arduino
Pin in sensor Port in Arduino
VCC 5V
GND GND
ECHO 12
TRIG 13
Interfacing of Motor driver with Arduino and DC
Motor
FUNCTION TABLE
Palm movement Function Action
Upward forward( ) Chair moves forward
Downward backward( ) Chair moves backward
Left left( ) Chair moves left
Right right( ) Chair moves right
Horizontal stop( ) Chair stop
FUNCTIONS USED
HAND GESTURE CONTROLLED WHEEL CHAIR
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.
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
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
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
DEMO
THANK YOU

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HAND GESTURE CONTROLLED WHEEL CHAIR

  • 1. HAND GESTURE CONTROLLED WHEEL CHAIR MINI PROJECT
  • 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
  • 5. BACKGROUND INFORMATION  Arduino UNO  Arduino IDE  Accelerometer  Ultrasonic sensor  Motor Driver and DC Motor
  • 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
  • 13. Interfacing of Accelerometer with Arduino Pin in sensor Port in Arduino VCC 5V GND GND SCL A5 SDA A4
  • 14. Interfacing of ultrasonic sensor with Arduino Pin in sensor Port in Arduino VCC 5V GND GND ECHO 12 TRIG 13
  • 15. Interfacing of Motor driver with Arduino and DC Motor
  • 16. FUNCTION TABLE Palm movement Function Action Upward forward( ) Chair moves forward Downward backward( ) Chair moves backward Left left( ) Chair moves left Right right( ) Chair moves right Horizontal stop( ) Chair stop
  • 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
  • 23. DEMO