Sign Language Translator

Project Concept:

This project aims to develop a smart glove that helps people with hearing or speech disabilities communicate easily with others by translating hand gestures (sign language) into text words that appear directly on a mobile app. The user wears the glove and performs the gesture, and the glove recognizes the movement and translates it into the corresponding word.

Project Components:

Protective glove: Modified to accommodate sensors and wires.

Flex sensors: Attached to the fingers of the glove to measure the degree of curvature of each finger.

ESP32 controller: Collects and analyzes sensor data.

Jumper wires: Connect the sensors to the controller.

Electronic resistors: Adjust the sensor signals.

Transmitter module (such as Bluetooth or Wi-Fi): Sends data to the app.

Mobile application (Android or iOS): Receives data from the glove and displays the translated word.

How the glove works:

The user wears the glove and performs a hand movement that expresses a word in sign language.

Flexibility sensors measure the degree of curvature of each finger.

The data is sent to a control unit, which analyzes the signals and identifies the corresponding word.

The translated word is sent to a mobile app.

The app displays the written word on the screen, and audio pronunciation can be added.

Project objectives:

Facilitate communication between the deaf and mute and the community.

Integrate technology and artificial intelligence to improve the lives of people with disabilities.

Provide an effective educational tool for those who wish to learn sign language.

Build a database that links hand signals to spoken or written words.

Features that can be developed later:

Supports audio translation of written words.

Stores and analyzes data using artificial intelligence techniques to increase accuracy.

Supports multiple languages (such as Arabic and English).

Adds a self-learning feature to the app with each use.

The ability to customize words and signs to suit the user.