Recently more & more hearing impaired people started using sign language. There are about 70 million people in the whole World that are not able to speak (dumb). A dumb person makes communication with other people using their motion of the hand or expressions. . Sign language helps the dumb people to make communication like normal people. The sign language translator which has been already developed uses a glove fitted with sensors that can interpret the 16 English letters in American Sign Language (ASL). Accelerometers and flex sensors are used in this system which increases its overall cost. We proposed a solution as a prototype called as “smart glove-for speech impaired people” which will translate sign language into text. It will help dump and deaf people to express their thoughts in more convenient way. As a sign language we have used traditional finger movements with contact switch wrapped around the user’s fingers. An IR transmitter receiver pair, HT12E and HT12D IC and, Arduino (Micro Controller) board helps transmitting data to PC. Moreover, use of contact switches reduces the system’s overall cost.
Keywords: - Arduino, HT12E IC & HT12D IC, IR transmitter receiver, contact switch.
2. INDEX
Introduction
Existing system
Proposed system
Scope of the project
Data flow diagram
materials
Advantages
Limitations
Future work
Conclusion
3. INTRODUCTION
What is Sign Language ??
Communicating language used primarily by deaf
people.
Uses different medium such as hands, face, or eyes
rather than vocal tract or ears for communication
purpose.
Sign language is used by deaf & dumb people.
Smart glove will be used to translate sign language
into text.
In sign language signs are used to communicate.
Our system is aimed at maximum recognition
of gesture without any training.
This makes the system usable at public places where
there is no room for long training sessions. Communication using sign language
4. REASON BEHIND MAKING THIS SOFTWARE..?
There are similar types of gadget which already exist but there
are various drawbacks in them.
The glove which we are going to develop will translate sign
language to facilitate conversation between speech and hearing
impaired people and those are not conversant with sign language.
5. EXISTING SYSTEM
●Since beginning in 2003, the Microsoft Imagine Cup has tasked students the
world over with developing technology aimed at solving real-world problems.
●Students were asked to build their project around a specific Millennium
Development Goal (MDG).
●However, with sign language varying greatly around the world, the users can
teach the system new gestures and modify existing ones.
6. PROPOSED SYSTEM
The sign language translator that we are going to
developed uses a glove fitted with sensors that can
interpret the 16 English letters in Indian Sign
Language.
The glove uses IR transmitter receiver, RF transmitter,
Encoder Decoder IC three dimensions to gather data on
each finger’s position and the hand’s motion to
differentiate the letters.
7. SCOPE OF THE PROJECT
Speechless people will be able to communicate with normal people.
Speechless people will be able to communicate with Speechless
people as well as deaf people.
Safety is one of the highest priorities for this translator. The translator
is carefully to not expose the user to any current from the circuit.
14. HARDWARE REQUIREMENT:
512MB RAM
40 GB Hard Disk
IR transmitter receiver
Encode Decoder IC
Contact Switches
LED
Single Stand Wire
Arduino Board
SOFTWARE REQUIREMENT
Visual Studio 2005 / 08 / 10
VB.net framework 2.0 & above
Operating System: XP service 2 and above
IMPLEMENTATION REQUIREMENTS :
Monitor
Glove
EXTERNAL REQUIREMENTS :
Battery
15. ADVANTAGES
It requires fewer components so its cost is low.
Small in size: Due to small size we can place its hardware on
our hand easily.
Light weight.
Flexible to users.
Easy to operate: Anyone can operate it easily.
Real time translation.
17. FUTURE WORK
This project did not focus on facial expressions although it is
well known that facial expressions convey important part of
sign-languages.
This system can be implemented in many application areas
examples include accessing government websites whereby no
video clip for deaf and mute is available or filling out forms
online whereby no interpreter may be present to help.
18. CONCLUSION
This technology could mean a new way for about 70
million people with hearing and speech impairment to
verbally communicate and connect to people around
them.
This project aims to lower the communication gap
between the deaf or mute community and the normal
world.