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Abstract: Instrumented gloves -- gloves equipped with sensors for detecting finger bend, hand position and orientation -- were conceived to allow a more natural interface to computers. However, the extension of their use for recognising sign language, and in this case Auslan (Australian Sign Language), is possible. Several researchers have already explored these possibilities and have successfully achieved finger-spelling recognition with high levels of accuracy, but progress in the recognition of sign... (Update)
Context of citations to this paper: More
.... c and labour intensive; the current work arises from the author s frustrating experiences trying to do this for the sign recognition task [2]. Secondly, there are special heuristics applicable to temporal domains that are di cult to capture by such a conversion process (for...
.... labourintensive; the current work arises from the author s frustrating experiences trying to do this for the sign recognition task [Kadous, 1995]. Secondly, there are special heuristics applicable to temporal domains that are difficult to capture by such a conversion process...
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Analysis of Clustering Techniques to Detect Hand Signs - Eisenstein.. (2001) (Correct)
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5.1: Auslan Sign Recognition Using Computers and Gloves - Kadous (1998) (Correct)
0.7: Machine Recognition of Auslan Signs Using PowerGloves: Towards.. - Kadous (1996) (Correct)
0.7: Gesture Recognition using Neural Networks - Sandberg (1997) (Correct)
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0.4: Adapting Hidden Markov Models for ASL Recognition by Using.. - Vogler, Metaxas (1997) (Correct)
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BibTeX entry: (Update)
M. W. Kadous, \GRASP: Recognition of Australian sign language using instrumented gloves," Honours thesis, School of Computer Science and Engineering, University of New South Wales, 1995. http://citeseer.ist.psu.edu/kadous95grasp.html More
@misc{ kadous95grasp,
author = "M. Kadous",
title = "GRASP: Recognition of Australian sign language using instrumented gloves",
text = "M. W. Kadous, \GRASP: Recognition of Australian sign language using instrumented
gloves, Honours thesis, School of Computer Science and Engineering, University
of New South Wales, 1995.",
year = "1995",
url = "citeseer.ist.psu.edu/kadous95grasp.html" }
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Documents on the same site (http://www.cse.unsw.edu.au/~waleed/thesis.html):
Machine Recognition of Auslan Signs Using PowerGloves: Towards.. - Kadous (1996) (Correct)
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