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