Gesture-Based Communication System

Overview

A prosthetic glove system designed using flex sensors and Raspberry Pi to interpret hand gestures for speech-impaired users.
The system converts gestures into text and speech output while integrating with a real-time health dashboard and emergency alert portal.

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Features

• Gesture recognition using flex sensors and MPU6050 motion sensors
• Real-time text-to-speech conversion for verbal communication
• IoT dashboard for live monitoring (temperature, pulse rate, emergency triggers)
• Emergency alert system integrated with cloud API
• Achieved 92% gesture recognition accuracy through calibration and filtering techniques

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Tech Stack

Component	Technology
Hardware	Raspberry Pi, Flex Sensors, MPU6050, Wi-Fi Module
Software	Python, Flask, HTML/CSS Dashboard
Libraries	OpenCV, NumPy, SpeechRecognition, pyttsx3
Platform	ThingSpeak / Firebase (for data sync)

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System Architecture

flowchart TD
    A[Flex Sensors + MPU6050] -->|Analog Signals| B[Raspberry Pi Controller]
    B -->|Processed Data| C[Signal Processing & Gesture Classification]
    C -->|Recognized Gesture| D[Speech/Text Output]
    B -->|IoT Updates| E[IoT Dashboard + Emergency Alert Portal]

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