Embedded systems_GloveForDeaf

Project Title: Deaf Glove (Sign Language Interpreter)

1. Project Overview & Objective The main objective of this project is to bridge the communication gap between the deaf and mute community and the general public. The system is designed to convert hand sign language into understandable text and speech, facilitating easier interaction.

2. Working Principle The project relies on an embedded systems approach using the ATmega32 microcontroller as the central processing unit. The operation follows this flow:

Perception: Five flex sensors are attached to a glove (one for each finger). When the user bends their fingers to form a sign, the resistance of the sensors changes, sending an analog signal to the microcontroller.

Processing: The ATmega32 converts these analog signals into digital signals using its internal ADC (Analog-to-Digital Converter). It processes the data to determine which fingers are bent based on pre-defined logic thresholds.

Output: Based on the specific combination of bent fingers, the system identifies the intended message and displays the corresponding text (e.g., words or phrases) on a 16x2 LCD screen.

3. Software Architecture The project utilizes a Layered Architecture to ensure modularity and ease of maintenance. It consists of three main layers:

MCAL (Microcontroller Abstraction Layer): Handles firmware for peripherals like DIO and ADC.

HAL (Hardware Abstraction Layer): Contains drivers for external hardware such as the LCD.

Application Layer: Contains the main logic that translates specific sensor readings into meaningful messages.

4. Key Features The system is programmed to recognize specific hand gestures and translate them into phrases. According to the project flowcharts, supported gestures include:

"YOU"

"I'M WATCHING"

"REALLY LOVE YOU"

"GOOD JOB"

"THAT'S TERRIBLE"

5. Hardware Components

ATmega32 Microcontroller.

5x Flex Sensors.

16x2 LCD Display.

Resistors (15KΩ and 10KΩ) used for voltage divider circuits.