TITLE

Theoretical Framework for Indian Signs - Gestures language Data Acquisition and Recognition with semantic support

AUTHOR(S)
Futane, P. R.; Dharaskar, R.V.
PUB. DATE
June 2013
SOURCE
Journal of Information Assurance & Security;2013, Vol. 8 Issue 3, p189
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
The major challenge that faces Indian Sign Language recognition now is developing methods/processes that will scale well in a better shape with increasing research findings by various researchers and supports by various institutions & government organization working for the standardization of sign language. The Sign language is a general term that refers to any gestural / visual language that makes use of specific shapes and movements of the fingers, hands and arms, as well as movements of the eyes, face, head and body. The sign languages are complete natural languages, with their own syntax and grammar. There is no international recognized and standardized sign language for all deaf people. There are many varieties of sign language in the region, including many pockets of home sign and informal sign languages. There is no consensus regarding which of these varieties constitute dialects of a language or separate languages, but several researchers have identified relatedness between the sign languages used in urban regions of India, Pakistan and Nepal. It is unknown whether this group is related to other languages of the subcontinent such as sign languages in Bangladesh or Sri Lanka. Our research began with a review and analysis of the sign gesture literature including Indian Sign Language whose standardization is in process and had variants of region language constructs, dialects...etc. Further, study of relevant methods, literature; experimenting it with thorough understanding of all the parameters, constraints; in-depth analysis of method/approaches applies to sign recognition; designing of sign gesture recognition systems and its research insight findings, will definitely lead to the development of the theoretical generic framework for sign language recognition that can provide an opportunity for a mute person to communicate with non-signing people without the need for an interpreter. It can be used to generate speech or text making the mute more independent. Since initially only single-handed gestures will be targeted which we have constructed as a dataset used for the experimentation. This system will aims at bridging communication gaps between the deaf community and other people. This will act as a tool for the researchers in this domain and when it will be fully operational the system will definitely help in minimizing communication gaps, easier collaboration and will also enable sharing & exchanging of ideas and experiences. Although the Deaf problem is very severe in India but not to that extend the efforts & work had been carried out which leaves lots of scope for research in this area & has a social relevance and open up opportunity for us to do for the nation. The study reveals that it is quite feasible and will act as a guiding tool to all researchers in the sign gesture acquisition and recognition domain. The relevant process, methods and algorithms such as general fuzzy min-max neural network used are discussed in detail with its comparable results obtained and tested with our Indian sign language dataset prepared.
ACCESSION #
90223044

 

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