VOICE OPERATED WHEELCHAIR

Group Members:

Mandar jadhav 11EXTC20

Mayuresh Todkar 11EXTC48

Dayanand Patil 11EXTC55

Project Guide: Dr(Mrs) V. Jayashree

Sr. Lecturer

Dept. of Electronics & telecommunication

OBJECTIVETO BUILD VOICE OPERATED SYSTEM FOR

PHYSICALLY DISABLED PERSONSTO DESIGN HARDWARE FOR VOICE

RECOGNITION AND CORRESSPONDING ACTION

INTRODUCTIONAIMED AT THOSE WHO ARE PHYSCIALLY HANDICAPPED; DEVOID OF BIPEDAL MOTION A PRE-REQUISITE FOR THOSE PARALYSEDBELOW THE NECK, THOSE SUFFERING FROMQUADRIPLEGIA, MUSCULAR DYSTROPHY ORCONGENITAL GAIT ABNORMALITIES. NO NEED OF PERSONAL HELP TO PUSHWHEELCHAIRTHIS WHEELCHAIR MOVES WITH THE HELP OF VOICE

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.

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.

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

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

BLOCK DIAGRAM

MIC

VOICE RECOGNITIO

N IC

MICROCONT OLLER

DRIVER CIRCUIT

RIGHTMOTOR

BATTERYCHARGERBATTERY

LEFT MOTOR

DRIVER CIRCUIT

SPEED &DIRECTION CONTROL

RESET

WORKING

Voice signals are given with the help of microphoneVoice 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 processorMicrocontroller is used to interface between motors and voice

recognition systemBattery is used to supply current to motor

SOFTWARE REQUIRD:Keil.embeded C etc.

SPECIFICATIONS

HARDWARE:-1.MICROCONTROLLER: PIC16F8772.VOICE RECOGNITION ICHM2007

3. MOTOR DRIVER CIRCUIT

4.MOTORS(DC)

5.BATTERY6.BATTERY CHARGER CIRUIT

FLOWCHART

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 fastcondition 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.

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.

TRAINING PROCESS

VOICE TRAININGMake 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.

FEATURES OF HM2007

It is a 48 pin DIP IC. Speaker independent mode was used. Maximum of 40 words can be recognizedIn 1.92 seconds

Microphone can be connected directly to the analog input.Two control mode is supported:-Manual mode and CPU mode

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.

VOICE RECOGNITIONRepeat 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.

ADVANTAGES:

A handicapped person without Legs can use this and become Independent. .

Less Hardware require i.e. compact. Economical. Reduce manpower. User friendly

DISADVANTAGES:It causes problem during noisy

environmentOne of the common anode 7-segment

drivers was damaged.

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 .

ImplementionHard ware: Time required

approximately two monthsSoftware: Time required

approximately three monthsTesting : Time required

approximately one month

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.

[5] http://www.who.int/mediacentre/news/notes/2013/disability_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

THANK YOU