There are roughly 72 million ‘hard of hearing’ individuals all over the planet, and more than 80% of them live in developing countries, as indicated in a review by the World Federation for the Deaf. Their lives are hindered by hearing distortions which bar them from showing full interest in the public besides taking pleasure in enjoying identical privileges. Motion based communication is common for the people with hearing and speaking impairments. Communication through signs is a successful choice rather than talking, where the former is replaced by hand flags. One solution to this problem is to study text comprehension tasks for hearing impaired localities using Sign Language Recognition. Gesture-based communication is the most significant and centered approach of communication for deaf and dumb individuals. This paper gives a concise review of different examination works conducted thus far in this field.

Sign Language Recognition (SLR) Convolution Neural Network (CNN) Support Vector Machine (SVM) Indian Sign Language (ISL) FFT