A Study on Sign Language Recognition-A Literature Survey

Abstract

This survey primarily focuses on the recent development of technologies being used for hearing loss and speech loss people to converse easily and frequently with usual people. The work so far gone for the development introduced in various technologies and techniques such as smart gloves, android application, techniques such as Convolution Neural Networks, Gaussian filtering, HMM, speech to text, video to Text then to Speech etc. The system was tested with SSVM classifier to check the accuracy with 10 sample gestures and found that the average recognition rate was 95.4% accuracy. Hence I conclude based on the accuracy obtained in test results my future work will continue on SSVM classifier.