According to the World Federation of the Deaf, there are more than 70 million deaf people worldwide. They have no means of communication with majority of people who don’t know Sign Language. They spend sizable amounts of money for personal translators who follow them everywhere they go. That is why me and my team of 9th Graders decided to create a device that can translate hands signs into text and speech in real-time. This prototype uses 10 sensors on each finger to calculate the angle of the finger bend. An accelerometer is present in each hand for grasping X, Y, and Z axis location of both the hands, all of this is then sent to a computer for converting and translating each hand sign. Right now, we are building an AI system that can automatically recognize hands signs without manually entering each finger angle and X, Y, Z position. Our aim is to make a device that's easy to use, portable, and helps deaf people communicate better and more independently.
