Computer System for Converting Gestures to Text and Audio Messages

Today, there are quite a large number of deaf- mute and hard-of-hearing people which communicate using gestures. Therefore, it is simply necessary to provide them with modern means communication the surrounding world. This paper creates holistic computer system architecture for converting gestures into text audio messages. The principles construction basic design solutions based on element base increased productivity minimization hardware costs energy consumption have been developed. most popular existing gesture recognition considered analyzed. operation main components has described, principle functioning entire analyzed, their advantages disadvantages compared. latest structural building (both physical software) selected investigated. Physical features include: state-of-the-art Arduino Nano computing platform, HC-05 Bluetooth module, ADXL335 accelerometer, ZD10-100 Information sensor (flexibility sensor). Software firmware Python-based software splitting flow letters words, displaying them, voicing them. methods Google Media Translation API Text-to-speech (gTTS) expediency conducting research improved performance through use new information sensor, flexibility 500 g. general scheme all systems designed.