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dc.contributor.authorPaulraj, M. P.
dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorHazry, Desa, Assoc. Prof. Dr.
dc.contributor.authorHema, Chengalvarayan Radhakrishnamurthy
dc.contributor.authorWan Mohd Ridzuan, Wan Ab Majid
dc.date.accessioned2014-04-15T01:23:04Z
dc.date.available2014-04-15T01:23:04Z
dc.date.issued2008
dc.identifier.citationInternational Conference on Electronic Design, 2008, pages 1-6en_US
dc.identifier.isbn978-1-4244-2315-6
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/33700
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractSign language is the primary communication method that impaired hearing people used in their daily life. Sign language recognition has gained a lot of attention recently by researchers in computer vision. Sign language recognition systems in general require the knowledge of the hand's position, shape, motion, orientation and facial expression. In this paper we present a simple method for converting sign language into voice signals using features obtained from head and hand gestures which can be used by hearing impaired person to communicate with an ordinary person. A simple feature extraction method based on the area of the objects in a binary image and Discrete Cosine Transform (DCT) is proposed for extracting the features from the video sign language. A simple neural network models is developed for the recognition of gestures using the features computed from the video stream. An audio system is installed to play the particular word corresponding to the gestures. Experimental results demonstrate that the recognition rate of the proposed neural network models is about 91%.en_US
dc.language.isoenen_US
dc.publisherIEEE Conference Publicationsen_US
dc.subjectGesture recognitionen_US
dc.subjectSign language recognitionen_US
dc.subjectSign languagesen_US
dc.subjectHand gesturesen_US
dc.titleExtraction of head and hand gesture features for recognition of sign languageen_US
dc.typeWorking Paperen_US
dc.identifier.urlhttp://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4786633&tag=1
dc.identifier.urlhttp://dx.doi.org/10.1109/ICED.2008.4786633
dc.contributor.urlwgengg@gmail.comen_US
dc.contributor.urls.yaacob@unimap.edu.myen_US
dc.contributor.urlhazry@unimap.edu.myen_US


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