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Towards Computer Assisted International Sign Language Recognition System: A Systematic Survey

International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 89 - Number 17
Year of Publication: 2014
Mikhaylyna Melnyk
Vira Shadrova
Borys Karwatsky

Mikhaylyna Melnyk, Vira Shadrova and Borys Karwatsky. Article: Towards Computer Assisted International Sign Language Recognition System: A Systematic Survey. International Journal of Computer Applications 89(17):44-51, March 2014. Full text available. BibTeX

	author = {Mikhaylyna Melnyk and Vira Shadrova and Borys Karwatsky},
	title = {Article: Towards Computer Assisted International Sign Language Recognition System: A Systematic Survey},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {89},
	number = {17},
	pages = {44-51},
	month = {March},
	note = {Full text available}


There is a number of automated sign language recognition systems proposed in the computer vision literature. The biggest drawback of all these systems is that every nation has their own culture oriented sign language. In other words, everyone needs to develop a specific sign language recognition system for their nation. Although the main building blocks of all signs are gestures and facial expressions in all sign languages, the nation specific requirements make it difficult to design a multinational recognition framework. In this paper, we focus on the advancements in computer assisted sign language recognition systems. More specifically, we discuss if the ongoing research may trigger the start of an international sign language design. We categorize and present a summary of the current sign language recognition systems. In addition, we present a list of publicly available databases that can be used for designing sign language recognition systems.


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