.

1. TALKING HANDS
ENABLING PEOPLE WITH SPEAKING DISABILITIES TO COMMUNICATE
WITH EASE.

2. ABOUT
• Approximately 7.5 million people in the United States have trouble
using their voices.
• The prevalence of speech sound disorder in young children is 8 to 9
percent.
• It is estimated that more than 3 million Americans stutter.

3. OBJECTIVE
• Developing a cost effective wearable technology that converts sign
language used by people with speaking disabilities to communicate
with ease.
• To cut short the overhead of having a third person sign language
interpreter/translator.

4. BLOCK DIAGRAM

5. INDEX
• Introduction
• Existing system
• Proposed system
• Scope of the project
• Components
• Advantages
• Limitations
• Future work
• Conclusion
• Reference

6. INTRODUCTION
• 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.

7. 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.

8. 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.

9. 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.

10. 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
translatoris carefully to not expose the user to any current from the
circuit.

11. COMPONENTS

12. ARDUINO UNO BOARD

13. FLEX SENSORS

14. ACCELEROMETER

15. LCD (16X2)

16. 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. LIMITATIONS
• Range up to 100m only.
• Facial expressions are not considered.

18. 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

19. CONCLUSION
• The prototype is a cost effective solution for the identified problem.
• We have correctly identified the sensors and components required to
build the prototype.

20. REFERENCES
• Stats - http://www.nidcd.nih.gov/health/statistics/pages/vsl.aspx
• Flex Sensors - http://www.sparkfun.com/tutorials/270
• Accelerometer - https://www.arduino.cc/en/Tutorial/ADXL3xx