MAGIC GLOVE( SIGN TO VOICE CONVERSION)

PRESENTED BY: GUIDED BY:

ABHILASHA JAIN MR. ARUN KUMAR

1041030005

EXTERNAL REVIEWBATCH-40

INTRODUCTIONThis project aims to lower this barrier in communication. It is based on the need of developing an electronic device that can translate sign language into speech in order to make the communication take place between the mute communities with the general public possible. A Wireless data gloves is used which is normal cloth driving gloves fitted with flex sensors along the length of each finger.Mute people can use the gloves to perform hand gesture and it will be converted into speech so that normal people can understand their expressionA gesture in a sign language is a particular movement of the hands with a specific shape made out of them.

BLOCK DIAGRAM:

BLOCK DIAGRAM OF SIGN TO VOICE CONVERTER

COMPONENTS USED:

Regulated power supply.Flex Sensor.APR9600.PIC Microcontroller 16F877A.LED Indicators. LCD

METHODOLOGY USED:

Microcontroller based control system with regulated power supply.Flex sensor.PIC microcontroller.Voice recording system.

POWER SUPPLY:PIC microcontroller works on 5 volt power

supply. To ensure proper working of the system we need a reliable power supply.

The components used to make a power supply are:

LM7805.Electrolytic capacitor for filtration.

IC7805

IC7805 is a 3-Terminal 1A positive voltage Regulator. We have used this IC because we need a 5volt power supply for microcontroller and this IC outputs maximum of 5 volt of supply. It employs internal current limiting, thermal shut down and safe operating area protection, making it essentially indestructible.

ELECTROLYTE CAPACITOR

Here electrolyte capacitor are used to smooth the power fluctuations and ripple from power supply. ceramic capacitor of 0.1 microfarad are used for the same purpose in parallel with LCD and microcontroller.

PIC MICROCONTROLLER: PIC 16F877 is a 40-pin 8-Bit CMOS FLASH

Microcontroller. The core architecture is high-performance RISC CPU with

only 35 single word instructions. All single cycle instructions take only one instruction cycle

except for program branches which take two cycles. It has two types of internal memories: program memory and

data memory. Program memory is provided by 8K words (or 8K*14 bits) of

FLASH Memory. Data memory has two sources, One type of data memory is a

368-byte RAM (random access memory) and the other is 256-byte EEPROM (Electrically erasable programmable ROM).

PIN DIAGRAM OF PIC 16F877A.

LCD

LCD displays are widely used in many applications like mobile phones, robotics, DVD players, Measurement instruments etc.

Intelligent LCD displays are very capable because they can display complete ASCII character set and even graphics.

These displays are easily connected with micro controller and microprocessors.

LCD displays are complete embedded system in them, because it include microcontroller, RAM and ROM.

Alphanumeric LCD

Block Diagram of lcd display

FLEX SENSOR: The Flex Sensor patented technology is based on

resistive carbon elements. Flex sensors are normally attached to the glove using

needle and thread. They require a 5-volt input and output between 0 and 5

V, the resistivity varying with the sensor’s degree of bend and the voltage output changing accordingly.

It will only change resistance in one direction. An unflexed sensor has a resistance of about 10,000 ohms. As the flex sensor is bent, the resistance increases to 30- 40 kilo ohms at 90 degrees.

VOICE PROCESSING SYSTEM:

APR 9600 single chip voice recorder and playback device from Aplus integrated circuits makes use of a proprietary analog storage technique implemented using flash non- volatic memory process in which each cell is capable of storing up to 256 voltage levels.

Microphone amplifier, automatic gain control ( AGC ) circuits, internal anti aliasing filter, integrated output amplifier and message management are some of the features of the APR 9600.

Voice signal from the microphone is fed into the chip through a differential amplifier.

An internal anti-aliasing filter automatically adjusts its response according to the sampling frequency selected.

Then the signal is processed into the memory array through a combination of the sample and hold circuits and analogue read/write circuit

The incoming voice signals are sampled and the instantaneous voltage samples are stored in the non- volatic flash memory cells in the 8 bit binary encoded format.

During playback, the stored signals are retrived from the memory, smoothed to form a continuous signal level at the speaker

CIRCUIT DIAGRAM:

In this circuit diagram, power supply is given by microcontroller 7805 which maximum can give 5 volt. Here 10 ohms resistor are in parallel with flex sensor which again have the resistance of 10 ohm. On bending it changes its resistance and it increases. It has 8 Leds which is in parallel to voice processor and in series with LCD so that we get to know that board is taking response or not. Now in PIC16F887A pin 2,3,4,and 5 have an inbuilt ADC which are directly connected to flex sensor. LCD is connected to port D of PIC and voice processor is connected to port C. It has a RESET button which is only used to execute the program from the starting.

EXPLANATION OF CIRCUIT DIAGRAM:

CIRCUIT DIAGRAM OF VOICE PROCESSING SYSTEM:

Switches are connected at port A of APR 9600 which are used to record voice as APR 9600 is a voice recorder or a playback IC. Voice filter and processing are on Pin 17 and 18 .On 14 AND 15 there is speaker which speak up all the recorded voice. electrolyte capacitor and paper capacitor are used to filter analog and digital signal.

EXPLANATION OF VOICE PROCESSING CIRCUIT:

PROJECT VIEW:

FEATURES AND APPLICATIONS:Features:Low cost.Compact system.Flexible to users.It takes less power to operate system.Applications:Physically challenged persons.Conveying information related operations

CONCLUSION: Sign language is a useful tool to ease the communication

between the deaf or mute community and the normal people. Yet there is a communication barrier between these communities with normal people.

This project aims to lower the communication gap between the deaf or mute community and the normal world.

This project was meant to be a prototype to check the feasibility of recognizing sign language using sensor gloves.

With this project the deaf or mute people can use the gloves to perform sign language and it will be converted in to speech so that normal people can easily understand.

The main feature of this project is that the gesture recognizer is a standalone system, which is applicable in daily life

REFRENCES:Nicholas Born.,”Senior Project Sign Language Glove”, ELECTRICAL ENGINEERING DEPARTMENT. California Polytechnic State University,1-49,2010 Kirsten Ellis and Jan Carlo Barca.”Exploring Sensor Gloves for Teaching Children Sign Language. Advances in Human-Computer Interaction”.1-8.,2012 Andreas Domingo, Rini Akmeliawati, Kuang Ye Chow ‘Pattern Matching for Automatic Sign Language Translation System using LabVIEW’, International Conference on Intelligent and Advanced Systems 2007.S2V(Hand Gesture Recognition and Voice Conversion System for Differentially Able Dumb People)SHOAIB AHMED V. Department of Electronics and Communication, Abdul Hakeem College of Engineering and Technology , Melvisharam, Vellore, Tamil Nadu 632 509, Submitted to: Tech Expo-The Global Summit, London 2012. Steven Douglas Collins. May,” ADVERBIAL MORPHEMES IN TACTILE AMERICAN SIGN LANGUAGE. GRADUATE COLLEGE OF UNION INSTITUTE AND UNIVERSITY”.1131,2004.

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