Video-based signer-independent Arabic sign language recognition using hidden Markov models

Applied Soft Computing Journal

Volumn 9, Issue 3, 2009, Pages 990-999

  AL Rousan, M ^a   Assaleh, K ^b   Tala'a, A ^c  

^a JORDAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Jordan)

^b AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

^c Ministry of Education   (Jordan)

Author keywords

Arabic sign language (ArSL); DCT; Deaf people; Feature extraction; Hand gestures; HMM

Indexed keywords

ARABIC SIGN LANGUAGE (ARSL); DCT; DEAF PEOPLE; HAND GESTURES; HMM;

AUDITION; COMPUTATIONAL GRAMMARS; COSINE TRANSFORMS; DISCRETE COSINE TRANSFORMS; FEATURE EXTRACTION; LINGUISTICS; OBJECT RECOGNITION; SPEECH RECOGNITION; TEST FACILITIES; VOCABULARY CONTROL;

HIDDEN MARKOV MODELS;

EID: 67349151279     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.01.002     Document Type: Article

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