Abstract
AbstractAutomatic real-time translation of gestured languages for hearing-impaired would be a major advancement on disabled integration path. Cued speech (CS) is a specific visual hand gesture that complements oral languages lip-reading. Cued speech in Bahasa Malaysia (CSBM) is an adaptation of cued speech for use in the Malay language. The cued speech recognition system is capable of detecting all necessary parameters of CS (handshape, hand position, and hand movement) and translate it to text equivalent. The aim is to help the deaf learn and practice the basic of cued speech consonant and vowel using hand gesture. This paper looks into the existing researches involved in this area and also the sensors and methods they used. Due to the limited number of researches for cued speech, related researches such as sign language (SL) translator systems and hand gesture recognition are also reviewed. This paper gives a general overview on the implementation of cued speech recognition system that automatically recognize a succession of cued speech hand gestures in real time. A Malay cued speech recognition system using image analysis is proposed.KeywordsCued speechMachine learningTransliterate systemImage analysisHand gesture
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