The Glove Gesture Vocalizer is an assistive technology project designed to help speech-impaired individuals communicate more effectively. The system detects predefined hand gestures using sensors mounted on a glove and converts them into audible speech output.
The project aims to bridge communication barriers by providing a simple, affordable, and real-time gesture-to-speech solution.
- Hand gesture recognition using sensor inputs
- Real-time gesture processing
- Speech generation from recognized gestures
- User-friendly interface
- Supports predefined American Sign Language (ASL) gestures
- Low-cost hardware implementation
- Arduino
- Flex Sensors
- Accelerometer Sensor
- Speaker Module
- Python
- HTML
- CSS
- JavaScript
- User performs a predefined hand gesture.
- Sensors capture finger movements and hand positions.
- Arduino processes sensor readings.
- Gesture is matched with stored patterns.
- Corresponding text is generated.
- Text is converted into speech output.
- Designed the overall system architecture.
- Implemented gesture recognition logic.
- Integrated sensor data processing with Arduino.
- Developed the web interface for project demonstration.
- Tested and validated gesture recognition accuracy.
- Participated in debugging and system optimization.
- Communication assistance for speech-impaired individuals
- Educational environments
- Accessibility solutions
- Human-computer interaction systems
- Machine Learning-based gesture recognition
- Mobile application integration
- Multi-language speech support
- Expanded gesture vocabulary
- Wireless communication using IoT devices
Completed as an academic assistive technology project.