DEVELOPMENT TOOLS OF SIGN LANGUAGE RECOGNITION
In the paper a comparative analysis of the characteristics of hardware and software that can be used in pattern recognition of sign language has been presented. The most popular kinds of devices which are used in the field of pattern recognition has been considered, as well as detail the most popular has been described. Some of the most successful tools for working with the data, the methods of processing the video stream, and also mention the methods like HMM, SVM, ANN, etc. that are used in the solutions of the problems of machine learning and working with Big Data has been considered.