01 — Archive
Sign Language Translation Gloves
Project Overview
Gloves that translates Sign Language into text in real-time. Using flex sensors and gyroscopes integrated with Arduino, these smart gloves detect and interpret hand gestures, creating a bridge of communication for the deaf and hard-of-hearing community. Programmed in C++, the system processes sensor data to accurately recognize sign language movements and convert them into readable text.
Project Details
- Client
- Tecnológico de Monterrey University
- Timeline
- March 2022 — June 2022
- Role
- Lead Developer
- Team
- 4 members
Challenge
Designing a wearable device capable of accurately translating sign language hand gestures into text in real-time, using affordable and accessible hardware components.
Approach
Integrated flex sensors and gyroscopes into custom gloves connected to Arduino microcontrollers. Developed gesture recognition algorithms in C++ to map sensor data to sign language characters.
Key Results
- —Functional prototype
- —89% accuracy
- —Reduced communication barriers
Technologies Used
- C++
- Arduino
- Flex sensors
- Gyroscope
- IoT
- Embedded Systems
Key Features
Real-time sign language to text translation
Flex sensor and gyroscope integration
Arduino-based embedded system
89% gesture recognition accuracy
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