Sign language (SL) is commonly considered as the primary gesture based language for deaf and dumb people. It is a medium of communication for such people. Basically image-based and sensor- based are the two important sign language recognition methods. Because of the difficulties in wearing complex devices like Hand Gloves, armbands, helmets etc. in sensor based approaches, lots of researches are done by companies and researchers on image based approaches. Sign language is used by these people to communicate with the normal people. Understanding this sign language is a difficult task according to the normal people. To address these difficulties, a real time translator for sign language using deep learning (DL) is introduced. It enables to reduce the limitations and cons of other methods to a greater extent. With the help of this real time translator, communication will be better and fast without causing any delay.
Sign Language, Deep Learning (DL)
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