This document describes a project to build a voice-operated wheelchair for physically disabled persons. The objective is to design hardware for voice recognition and corresponding wheelchair actions. Group members include Mandar Jadhav, Mayuresh Todkar and Dayanand Patil, guided by Dr. V. Jayashree. The system is aimed to help those paralyzed below the neck or with quadriplegia. It will allow independent wheelchair movement through voice commands without need for personal assistance. The design uses a microphone, voice recognition IC, microcontroller, motor drivers and batteries to power DC motors for forward, reverse, left and right wheelchair movement.

1. Group Members:
Mandar jadhav 11EXTC20
Mayuresh Todkar 11EXTC48
Dayanand Patil 11EXTC55
Project Guide: Dr(Mrs) V. Jayashree
Sr. Lecturer
Dept. of Electronics & telecommunication

2. OBJECTIVE
TO BUILD VOICE OPERATED SYSTEM FOR
PHYSICALLY DISABLED PERSONS
TO DESIGN HARDWARE FOR VOICE
RECOGNITION AND CORRESSPONDING ACTION

3. INTRODUCTION
AIMED AT THOSE WHO ARE PHYSCIALLY
HANDICAPPED; DEVOID OF BIPEDAL
MOTION
 A PRE-REQUISITE FOR THOSE PARALYSED
BELOW THE NECK, THOSE SUFFERING FROM
QUADRIPLEGIA, MUSCULAR DYSTROPHY OR
CONGENITAL GAIT ABNORMALITIES.
 NO NEED OF PERSONAL HELP TO PUSH
WHEELCHAIR
THIS WHEELCHAIR MOVES WITH THE HELP
OF VOICE

4. SPEECH RECOGNITION
 Speech recognition is classified into two categories, speaker dependent and
speaker independent. Speaker dependent systems are trained by the
individual who will be using the system. These systems are capable of
achieving a high command count and better than 95% accuracy for word
recognition. The drawback to this approach is that the system only responds
accurately only to the individual who trained the system.
 Speaker independent is a system trained to respond to a word regardless of
who speaks. Therefore the system must respond to a large variety of speech
patterns, inflections and enunciation’s of the target word. The command
word count is usually lower than the speaker dependent however high
accuracy can still be maintain within processing limits. Industrial
requirements more often need speaker independent voice systems, such as
the AT&T system used in the telephone systems.

5. LITERATURE SURVEY
 There are many scientists and researchers who develop
computer software that can recognize human voice commands
in so many languages such as English, Japanese and Thai.
There are many techniques that are used to recognize voice
commands which are:1)Neural Network Method 2)Fuzzy logic
technique3)hidden Markov model and 4)Gaussian mixture
model etc
 Researchers transform sound wave into digital wave by a
computer. After that they use digital signal to manage different
electronic equipments, for example 1)controlling robot arm
movement 2)helping the handicapped to move a wheel chair
etc.

6. Accoring to ijret In the paper on “Voice Operated Intelligent Wheelchair” ,
Matlab software is used for input signal processing and that signal is given to
the ARM Processor LPC2138 which is used to control the movement of wheel
chair by controlling the DC motors. Input to Matlab is provided with the help
of headphone according to input signal, controller will decide the operations of
two DC motors.
In the paper on “Voice operated Speed Control of Wheel Chair for Physically
Challenged Using Arduino”
input is provided to the Arduino which is used to control the motion of wheel
chair with the help of voice command . A switch is used to switch between the
input methods. The Arduino controls the movement of wheel chair based on
the input signal received from any one of input methods. For movement of
wheel chair two DC motors are used

7. In another paper of ijret, input is given to IC HM2007.
HM 2007 IC is used for the voice recognition purpose. HM 2007
generates the output signal depending on the input from the user
and that signal is given to microcontroller which is used to control
the motion of wheel chair. Two DC motors are used to control the
motion of wheel chair. HM 2007 gives more accuracy

8. BLOCK DIAGRAM
MIC
VOICE
RECOGNITION
IC
MICROCONT
OLLER
DRIVER
CIRCUIT
RIGHT
MOTOR
BATTERY
CHARGERBATTERY
LEFT
MOTOR
DRIVER
CIRCUIT
SPEED &DIRECTION
CONTROL
RESET

9. WORKING
Voice signals are given with the help of microphone
Voice is recognised with the help of voice recognition
circuit.HM 2007 is used for voice recognition
HM 2007 processor assembled with input &
output port ,memory chip and digital display
 It uses keypad &display
To communicate and program the processor
Microcontroller is used to interface between motors and voice
recognition system
Battery is used to supply current to motor

10. SOFTWARE REQUIRD:
Keil.
embeded C etc.

11. SPECIFICATIONS
HARDWARE:-
1.MICROCONTROLLER: PIC16F877
2.VOICE RECOGNITION IC
 HM2007
3. MOTOR DRIVER CIRCUIT
4.MOTORS(DC)
5.BATTERY
6.BATTERY CHARGER CIRUIT

12. FLOWCHART

13. The main part of the design is to control the motion of the
wheelchair. There are four condition of motions are considered,
moving forward, moving in reverse direction, moving to the left
and moving to the right. For the speed, the user may use slow
or fast speed command.
 The system starts by applying the supply voltage to the
speech recognition circuit. For fast
condition the system will supply higher current to the motors.
If the user does not want the wheelchair move in high speed,
the slow speed command can be set by applying low current
supply to the motors.

14. The wheel chair directions and movement
possible are as given below.
Forward: Both motors are in forward
direction.
 Reverse: Both motors are in reverse
direction.
 Left: Left motor stopped and right
motor in forward direction.
Right: Right motor stopped and left
motor in forward direction.
 Stop: Both motors are stopped.

15. TRAINING PROCESS
VOICE TRAINING
Make WAIT pin HIGH for training mode.
Clear the memory by pressing 99 *.
Enter the location number to be trained.
After entering the number the LED will
turn off.
Number will be displayed on the display.
Next press # to train.

16. FEATURES OF HM2007
 It is a 48 pin DIP IC.
 Speaker independent mode was used.
 Maximum of 40 words can be recognized
In 1.92 seconds
Microphone can be connected directly to the
analog input.
Two control mode is supported:-Manual mode
and CPU mode

17. The chip will now listen to the voice input
and LED will turn ON.
Now, speak the word you want to train into
the microphone.
The LED should blink momentarily.
This is the sign that the voice has been
accepted.
Continue doing this for different words.

18. VOICE RECOGNITION
Repeat the trained word into the
microphone.
If word is rightly recognized, the correct
location is displayed.
The error codes are:
55- word too long.
66-word too short.
77-word no match.

19. ADVANTAGES:
A handicapped person without Legs can use
this and become Independent. .
 Less Hardware require i.e. compact.
 Economical.
 Reduce manpower.
User friendly

20. DISADVANTAGES:
It causes problem during noisy
environment
One of the common anode 7-segment
drivers was damaged.

21. FUTURE SCOPE
Further advancement in this wheel chair
are possible by decreasing the power
requirements of the wheel chair or
Finding a way to automatically charge
the battery with the help of motion of
the wheel chair .

22. Implemention
Hard ware: Time required
approximately two months
Software: Time required
approximately three months
Testing : Time required
approximately one month

23. REFERENCES
[1] “Voice Operated Intelligent Wheelchair” by Ms. S.
D. Suryawanshi , Mr. J. S. Chitode , Ms. S. S. Pethakar,
“ International Journal of Advanced Research in
Computer Science and Software Engineering
[2] “Voice Based Direction and Speed Control of
Wheel Chair for Physically Challenged by
M.Prathyusha, K. S. Roy, Mahaboob Ali Shaik, “
International Journal of Engineering Trends and
Technology (IJETT)” ,
[3] “A Wheelchair Steered through Voice Commands
by Gabriel Pires and Urbano Nunes “Journal of
Intelligent and Robotic
[4] “Smart Wheelchairs: A literature Survey”, by
Richard Simpson “Journal of Rehabilitation Research
& Development.

24. [5]
http://www.who.int/mediacentre/news/notes/2013/d
isability_and_development_20130920/en
[6] http://www.indiability.org/resources/disability-
in-india
[7] www.techtriks.wordpress.com
[8] http://www.electroschematics.com/wp-
content/uploads/2013/01/PIC16F877A-
Datasheet.pdf

25. THANK YOU