Touch Sensor based Voice Conversion system for Dumb people using Arduino

Abstract

All people communicate with one another by making sounds to convey their ideas. However, this is inappropriate for those who are dumb or hard of hearing. There are numerous ways to communicate their ideas to regular people, including hand gestures, facial expressions, and orientation. Furthermore, communicating with others usually involves the use of sign language. Every word has a unique action that embodies a particular expression. Since most people are unfamiliar with these gestures, the success rate of gestures is low. Therefore, it makes sense to create a system that facilitates information exchange for the dumb. By using infrared and touch-based sensors, sign language can be translated into speech. This gesture recognition system uses infrared and touch sensors. The Arduino receives input based on the resistance of the infrared and touch sensors, and produces vocal output in response. This system responds more quickly and improves communication efficiency. Developing a system to recognise human gestures and transmit data for device control is one of the main objectives of gesture recognition research. Hand gestures and human body gestures are used by processors to interface. By using this method, we can interpret human body language and interact with systems that use gestures as input to operate machinery or software.