Pakistan Sign Language to Natural Language
Loading...
Date
2018
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of Management and Technology
Abstract
Pakistan Sign Language to Natural Language Page 5 of 50
Formatted: Justified, Tab stops: 6", Right
Formatted: Font: 10 pt
Formatted: Font: 10 pt
Formatted: Font: 10 pt
Formatted: Font: 10 pt
ABSTRACT
In this thesis, Pakistan Sign Language to Natural Language System has been proposed. To conquer
any hindrance between deaf and an ordinary individual, we need to think of a framework, which
can make an interpretation of one dialect to another. The effective communication method between
deaf community and many other dictionaries of words have been defined to make the
communication possible is Sign Language. A gesture is recorded by Kinect, which gives in-depth
vision image and color vision image of everything in front of it. We extract only depth stream from
it as we need only skeletal data in our case. By Extracting, feature vector against every gesture and
after its normalization and classification the English text word against each gesture will be
generated as a result.
For this we have proposed a system which takes an PSL gesture as an input and will produce its
comparable English word. Our proposed framework uses a few tools and methods, as after
normalization we concluded a frame descriptor. When it comes out to be last gesture of frame, we
summarize all the saved frame descriptors by summarizing them. Each row represents a frame, and
this is called Feature Vector. After doing this process each row will represent a gesture and our
classifier to build model, so it can be used for prediction can use this data. Last but not the least a
English word is created from this method.
Description
Supervised by: Mr. Nabeel Sabir Baloch
Keywords
Effective communication method, Frame descriptor, PSL gesture, BS