NDLI: Visual Sign Language Interpretation Using Spatial Temporal Neural Processing

Content Provider	IEEE Xplore Digital Library
Author	Saman, G. Sajjad, A. Hameed, A.O. Shah, A.R.
Copyright Year	2006
Description	Author affiliation: Fac. of Comput. Sci. & Eng., Ghulam Ishaq Khan Inst. of Eng. Sci. & Technol., Swabi (Saman, G.; Sajjad, A.; Hameed, A.O.; Shah, A.R.)
Abstract	An approach to recognizing human hand gestures from a monocular temporal sequence of color images is presented in this paper. The focus is on the representation and recognition of hand movements that are used in single handed (right hand is the dominant hand) American sign language (ASL). This work has been done with the help of markov chains while we have carried it out with STANN. The first level of decomposition is in terms of three sets of primitives, hand shape, location and movement. Further levels of decomposition involve the lexical and sentence levels and are part of future work. The approach has been trained and tested with an overall recognition of 100%
Starting Page	128
Ending Page	133
File Size	5813175
Page Count	6
File Format	PDF
ISBN	142440794X
DOI	10.1109/INMIC.2006.358149
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-23
Publisher Place	Pakistan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Handicapped aids Video sequences Cameras Image recognition Humans Shape Robustness Computer vision Artificial neural networks Focusing spike graphs ST coding STAN ASL Binary Feature Vector
Content Type	Text
Resource Type	Article

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