By Topic

Real-time sign language gesture recognition using still-image comparison & motion recognition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Kumarage, D. ; Dept. of Inf. Technol., SLIIT, Malabe, Sri Lanka ; Fernando, S. ; Fernando, P. ; Madushanka, D.
more authors

A sign language is a language which uses visually transmitted sign patterns, instead of acoustically conveyed sound patterns, to deliver the meaning. Sign languages are typically constructed by simultaneous combination of hand shapes, orientations and movements of the hands, arms or body, with facial expressions to fluidly express a speaker's thoughts. This paper presents a less costly approach to develop a computer vision based sign language recognition application in real time context with motion recognition. We explore new concepts of breaking down motion gestures to sub components for parallel processing and mapping motion data into static data representations. This concept can be used to identify sign language gestures, without performing computational intensive tasks of each and every frame captured. Moreover, sign language gestures can be evaluated with minimal image processing and map the motion to linear/non-linear equations using functionalities proposed in this paper.

Published in:

Industrial and Information Systems (ICIIS), 2011 6th IEEE International Conference on

Date of Conference:

16-19 Aug. 2011