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🧀 Smart Tactile Glove for Deaf-Blind Two-Way Communication

πŸ“Œ Overview

A wearable embedded system designed to assist deaf-blind individuals in communication by translating hand gestures into audible speech and tactile feedback.


🎯 Objective

To bridge the communication gap for deaf-blind individuals by providing a real-time, intuitive, and accessible interaction system.


βš™οΈ System Architecture

  • Controller: ESP32-S3 microcontroller
  • Sensors: MPU6050 IMU, Flex Sensors
  • Communication: Bluetooth Low Energy (BLE)
  • Output: DFPlayer Mini (audio), vibration motors (tactile feedback)

πŸ”§ Working Principle

  • Hand gestures are captured using flex sensors and IMU
  • Sensor data is processed by ESP32-S3
  • Gestures are mapped to predefined alphabets/commands
  • Output is generated as:
    • Audible speech (via speaker)
    • Tactile vibration feedback

πŸ’‘ Key Features

  • Real-time gesture recognition
  • Wearable and portable system
  • Dual feedback (audio + vibration)
  • Wireless communication using BLE

🧠 Learning Outcomes

  • Embedded system design
  • Sensor fusion and calibration
  • Wearable technology development
  • Real-time processing and control

πŸ“Œ Applications

  • Assistive technology for disabled individuals
  • Human-computer interaction systems
  • Wearable IoT devices

πŸš€ Conclusion

This project demonstrates practical implementation of embedded systems, wearable technology, and real-time gesture-based communication for impactful real-world applications.

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Wearable embedded system for deaf-blind communication using gesture recognition, audio output, and tactile feedback.

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