Review in Sign Language Recognition Systems

The Sign Language Recognition System (SLR) is highly desired due to its ability to overcome the barrier between deaf and hearing people. At present, a robust SLR is still unavailable in the real world due to numerous obstacles. Additionally, as we know, Sign Language recognition has emerged as one of the most important research areas in the field of human computer interaction (HCI). Hence, this paper presents an overview of the main research works based on the Sign Language recognition system, and the developed system classified into the sign capturing method and recognition techniques is discussed. The strengths and disadvantages that contribute to the system functioning perfectly or otherwise will be highlighted by invoking major problems associated with the developed systems. Next, a novel method for designing SLR system based on combining EMG sensors with a data glove is proposed. This method is based on electromyography signals recorded from hands muscles for allocating word boundaries for streams of words in continuous SLR. The proposed system is expected to resolve words segmentation problem, which will contribute to enhanced recognition capability for the continuous sign recognition system.