Title :
Vision-based sign language translation device
Author :
Madhuri, Y. ; Anitha, G. ; Anburajan, M.
Author_Institution :
Dept. of Biomed. Eng., SRM Univ., Kattankulathur, India
Abstract :
This report presents a mobile VISION-BASED SIGN LANGUAGE TRANSLATION DEVICE for automatic translation of Indian sign language into speech in English to assist the hearing and/or speech impaired people to communicate with hearing people. It could be used as a translator for people that do not understand sign language, avoiding by this way the intervention of an intermediate person and allow communication using their natural way of speaking. The proposed system is an interactive application program developed using LABVIEW software and incorporated into a mobile phone. The sign language gesture images are acquired using the inbuilt camera of the mobile phone; vision analysis functions are performed in the operating system and provide speech output through the inbuilt audio device thereby minimizing hardware requirements and expense. The experienced lag time between the sign language and the translation is little because of parallel processing. This allows for almost instantaneous recognition from finger and hand movements to translation. This is able to recognize one handed sign representations of alphabets (A-Z) and numbers (0-9).The results are found to be highly consistent, reproducible, with fairly high precision and accuracy.
Keywords :
computer vision; handicapped aids; image sensors; language translation; mobile computing; mobile handsets; parallel processing; sign language recognition; virtual instrumentation; English; Indian sign language; LABVIEW software; finger movements recognition; hand movements recognition; hearing impaired people; inbuilt audio device; inbuilt camera; interactive application program; mobile phone; mobile vision-based sign language translation device; operating system; parallel processing; sign language gesture images; speech impaired people; speech output; vision analysis functions; Assistive technology; Auditory system; Cameras; Databases; Feature extraction; Gesture recognition; Speech; Image processing; LabVIEW; pattern matching; sign language;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2013 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4673-5786-9
DOI :
10.1109/ICICES.2013.6508395