Title :
An automated vision based recognition system for Sri Lankan Tamil sign language finger spelling
Author :
Vanjikumaran, S. ; Balachandran, G.
Author_Institution :
Sch. of Comput., Asia Pacific Inst. of Inf. Technol., Sri Lanka
Abstract :
As computers become more and more pervasive in human lives, the need for natural and effective Human Computer Interaction (HCI) becomes more important than ever. Speech recognising and voice commanding remain to play an important role in the HCI field. However, these systems are restricted for deaf community. In Sri Lanka, the native language of the deaf community is Sri Lankan sign language, which defines set of vocabulary of gestures corresponding to frequently used words. If a word is not defined, they are spelt out the word using gestures that correspond to the letters in the Sinhala or Tamil alphabet. In this paper, authors investigate as regards Sri Lankan Tamil sign language finger spelling alphabet, problem of recognising Sri Lankan Tamil finger spelling from vision based recognition and technical challenges behind it.
Keywords :
computer vision; gesture recognition; human computer interaction; Sri Lanka; Tamil sign language; deaf community; gesture vocabulary; human computer interaction; sign language finger spelling; speech recognition; vision based recognition system; voice command; Handicapped aids; Humans; Image recognition; Optical imaging; Artificial Neural Network; Computer Vision; Gesture Recognition; Sign Language Recognition; Sri Lankan Sign Language; Tamil Finger spelling Recognition;
Conference_Titel :
Advances in ICT for Emerging Regions (ICTer), 2011 International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4577-1113-8
DOI :
10.1109/ICTer.2011.6075024
