Sign Language Translation Glove
A wearable device that translates sign language gestures into text and speech output to facilitate communication for deaf and mute individuals.
Project Overview
The Sign Language Glove is an assistive technology device designed to bridge communication gaps between deaf/mute individuals and those who don't understand sign language. The glove captures hand gestures through integrated sensors, processes them using machine learning algorithms, and outputs the corresponding words or phrases as text on a display and synthesized speech.
Technical Implementation
The system consists of several integrated components:
- Sensor Array: Flex sensors, accelerometer, gyroscope, and contact sensors
- Microcontroller: Processes sensor data in real-time
- Wireless Module: Bluetooth Low Energy for mobile app connectivity
- Machine Learning: Custom-trained model for gesture recognition
- Mobile App: Displays text and generates speech output
- Power System: Rechargeable battery with 8+ hour lifespan
Key Features
Gesture Library
Recognizes 50+ ASL gestures with 92% accuracy
Real-time
<200ms latency from gesture to speech
Mobile App
Android/iOS interface with customization
Customizable
Users can add personal gestures
Development Challenges
Several technical challenges were overcome during development:
- Sensor Accuracy: Fine-tuned sensor placement and calibration
- Gesture Ambiguity: Developed context-aware disambiguation
- Power Consumption: Optimized for all-day battery life
- Comfort: Designed lightweight, breathable materials
- Cost: Reduced component costs by 70% through design iterations
Potential Impact
- Education: Help deaf children learn to communicate
- Employment: Enable workplace communication
- Healthcare: Improve doctor-patient interactions
- Daily Life: Facilitate everyday conversations