Sign Language Detection Using Smart Hand Gloves

The Sign Language Detection Using Smart Hand Gloves system is designed to recognize hand gestures and convert sign language into text and voice output. Flex sensors installed on the glove detect finger bending, while the MPU6050 measures hand orientation and movement. The ESP32 processes the sensor values and identifies predefined sign-language gestures using machine learning or programmed gesture classification.

The recognized sign is displayed on a screen and can also be converted into speech, helping improve communication between speech/hearing-impaired users and other people.

AI-Based Features

🤖 Hand Gesture Recognition
🖐️ Finger Movement Analysis
📐 Hand Orientation Detection
🧠 ML-Based Sign Classification
🔤 Sign-to-Text Conversion
🔊 Text-to-Speech Output
📊 Gesture Accuracy Analysis
📚 Custom Gesture Training

Objectives

✅ Real-Time Sign Language Detection
✅ Smart Glove-Based Gesture Recognition
✅ Finger Movement Monitoring
✅ Hand Orientation Detection
✅ Sign-to-Text Conversion
✅ Text-to-Voice Conversion
✅ Wireless Data Transmission
✅ Custom Gesture Addition
✅ IoT/Web Dashboard Support
✅ Improve Communication Accessibility

Web Dashboard Features
🖐️ Live Hand Gesture
🔤 Detected Sign/Text
🔊 Voice Output
📊 Sensor Values
📈 Gesture History
🤖 Prediction Confidence
📚 Custom Sign Management
📅 Recognition History
🌐 Remote Monitoring
Applications

♿ Assistive Communication
🏫 Special Education
🏥 Rehabilitation Centers
🏠 Home Communication
🧑‍🦽 Accessibility Technology
🤟 Sign Language Learning
🎓 AI & Embedded Systems Projects

📦 Includes:
✅ Complete Source Code • Smart Glove Circuit • Gesture Recognition Model • Voice Output • Web Dashboard • Circuit Diagram • Documentation • Project Report • Installation Guide • User Manual • Technical Support