DocumentCode :
3483374
Title :
Sign language recognition using sensor gloves
Author :
Mehdi, Syed Atif ; Khan, Yasir Niaz
Author_Institution :
FAST-Nat. Univ. of Comput. & Emerging Sci., Lahore, Pakistan
Volume :
5
fYear :
2002
fDate :
18-22 Nov. 2002
Firstpage :
2204
Abstract :
This paper examines the possibility of recognizing sign language gestures using sensor gloves. Previously sensor gloves are used in games or in applications with custom gestures. This paper explores their use in Sign Language recognition. This is done by implementing a project called "Talking Hands", and studying the results. The project uses a sensor glove to capture the signs of American Sign Language performed by a user and translates them into sentences of English language. Artificial neural networks are used to recognize the sensor values coming from the sensor glove. These values are then categorized in 24 alphabets of English language and two punctuation symbols introduced by the author. So, mute people can write complete sentences using this application.
Keywords :
data gloves; gesture recognition; language translation; natural languages; American Sign Language; English language; Talking Hands; artificial neural networks; custom gestures; mute people; punctuation symbols; sensor gloves; sensor values; sign language gestures; sign language recognition; Cameras; Deafness; Fingers; Handicapped aids; Magnetic field measurement; Magnetic sensors; Natural languages; Robot sensing systems; Shape; Thumb;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
Type :
conf
DOI :
10.1109/ICONIP.2002.1201884
Filename :
1201884
Link To Document :
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