Perlustration of Deaf-And-Dumb Alphabet Detection and Interpretation

  Priyadharsini N,  Rajeswari N

A sign language appertains to recognize the meaningful expressions which uses the gestures like combined hand-shapes, orientation and movement of the hands, arms or body, facial expressions and lip-patterns instead of sound to convey ideas. It is of uttermost importance in designing an intelligent and efficient human–computer interface. The applications of sign language ranging medical rehabilitation to loud venues. However, successful recognition of lexical signs is not sufficient for understanding of proper sign language communication. The Non-manual signs and the grammatical processes, results in the variation in the appearance of signs are integral aspects of interaction but have received comparatively less attention. In this survey, we examine the data acquisition, feature derivation and classification methods employed for scrutinize the sign language gestures. These are discussed with respect to the issues like modeling transitions between signs in continuous signing, signer independence, and adaptation, also with the overall progress towards a true test of sign recognition systems—dealing with natural signing by native signers. Every hand gesture recognition is depend on characters in different Sign Language (SL). The related research area of sign gesture recognition is Human Computer Interaction (HCI) and image processing which helps to solve this problem. Existing challenges and future research possibilities are also highlighted.

Keywords- Sign language, Human computer interaction

Unique Identification Number - IJEDR1702083
Page Number(s) - 473-476
Pubished in - Volume 5 | Issue 2 | April 2017
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Priyadharsini N,  Rajeswari N,   "Perlustration of Deaf-And-Dumb Alphabet Detection and Interpretation", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 2, pp.473-476, April 2017, Available at :http://www.ijedr.org/papers/IJEDR1702083.pdf