Gesture Vocalizer Using Flex Sensor and Software Visualization

Abstract

Abstract: Hardware version of the project: Gesture Vocalizer is a multi-microcontroller-based framework intended to work with the correspondence among the imbecilic, hard of hearing and visually impaired networks and their correspondence with the ordinary individuals. This system can be flexibly changed to function as a "smart device.". In this project we showcased a gesture vocalizer based on a microcontroller and sensors. Gesture vocalizer design is basically a hand glove and a microcontroller system. A hand glove can detect practically all hand gestures, and a microcontroller-based system can translate a few of those gestures into identifiable speech. The hand glove has two types of sensors: flex sensors that act as bend sensors and accelerometers that act as tilt sensors. This device is advantageous to deaf people because it allows their hands to speak once they have worn the gesture vocalizer glove. In this project we use flex sensors and Arduino Mega microcontroller which are the backbone of the project. The flex sensor otherwise called the twist sensor is a sort of sensor that measures the measure of bowing or avoidance or flexing as the name proposes. As the sensors are bowed the sensors give us an obstruction esteem, the sensor gives so the more the sensors are twisted, more opposition esteem. When estimated with a multimeter, the flex sensor at a level and consistent position gives an opposition esteem close to 25k ohm while when the sensors are completely bowed, they give an obstruction worth of 72k ohm. The flex sensors are typically of a slim construction and are entirely agreeable to utilize, and can be twisted without utilizing a lot of power.