This document discusses a proposed sign language translation system using glove technology. The system would use flex sensors in a glove to detect hand gestures and convert them to text or speech output. This would help the deaf-mute community communicate without barriers. While accurate, the system may have slow processing and difficulty operating the glove. However, improvements could make the glove more flexible and allow it to also detect facial expressions. The proposed system aims to provide a portable tool to help the deaf-mute community learn and communicate using sign language.

1.  What is the name of
child in picture?
 What is her disability?
 Who is there besides
her?
 What she do?

2. Presented by:
M.RAKESH KUMAR
13UE1A0444
DEPT OF ECE
TRINITY ENGG AND TECH

3. Introduction
Sign language
Methods and Materials
Results and Discussions
Advantages
Disadvantages
Future scope
conclusion

4.  About nine billion people in the world are
deaf and dumb.
 Even blind people can also communicate
with each other using general language.
 But deaf and dumb not able to
communicate,So they use special language
i.e. sign language.

5.  Sign language is a non-verbal form of
Language by using hand gestures.
 A gesture in a sign language, is a particular
movement of the hands with a specific shape
made out of them.
 Facial expressions also count toward the
gesture at the same time.
 Gesture recognition is classified into two
main categories i.e.
1.vision based and 2.sensor based

7. Image
processing
Pot and
mechanical
analysis
Using
smart
phone
Flex
sensors

8. Pot and mechanical analysis
Image processing
 Hand gestures are captured by camera and
according to algorithm image processing takes
place. It needs several ideal situations such as
sufficient light and plane background.
 It required very precise assembly and it is
bit delicate. A pot is connected to various
strings connected to fingers.
 This whole assembly is placed on palm. As
per finger moment position of pot varies.

9. Using Smart Phone
Using flex sensors
 Various gestures can be made on touch screen. These
can be converted to sound by various inbuilt software.
But this is not convenient as user must be educated
which is not possible all the time.
 use of a glove based technique comprising of flex
sensor and accelerometer.
 For each hand gesture there is a pre-stored
inputs.

11. Binary logic table Fig 3:image for gesture G

13.  This system eliminate the barrier in communication
between the mute community and the normal
people.
 It also provide communication between dumb and
blind.
 It is also useful for speech impaired and paralysed
patient means those do not speak properly.

14.  1. Accuracy and processing of system may be
slow.
 2.We may have some difficulty in operating
the glove.
 3. These gloves cannot capture the facial
expression.
 4.many deaf people may not want to carry
around the glove or may find that the
computer processing is too slow or unnatural.

15.  1. Wearable hand glove mouse can be
flexible for every hand size .
 2. These gloves cannot capture the facial
expression..So device can be develop that can
capture facial expression also.

16.  The project proposes a translational device
for deaf-mute people using glove technology.
 Further the device will be an apt tool for deaf
mute community to learn gesture and words
easily.
 And also it is portable.