sign language recognition glove
Link to open source: https://github.com/rhydham-music27/gesture_recognition
1. Real-Time Sign Language to Speech/Text Translation
Converts hand gestures into spoken words or text using sensor data (Hall effect, gyroscope, accelerometer).
Helps non-signers understand sign language without needing an interpreter.
Enables seamless communication between the hearing-impaired and the general public.
2. Accessibility for the Hearing & Speech Impaired
Useful in hospitals, schools, and workplaces where sign language users struggle to communicate.
Helps in emergency situations where quick communication is needed.
Can be used in education to teach sign language to beginners
3. Enhancing Assistive Technology
Can work with text-to-speech (TTS) engines to "speak" the recognized words.
Could be extended to translate different sign languages (ASL, BSL, ISL).
4. Helping the Blind & Deaf Community
If combined with haptic feedback or voice output, it could help deaf-blind individuals communicate.
Could work alongside IoT smart shoes (another idea of yours) to assist visually impaired users.
5. Making Smart Wearable Tech More Inclusive
If connected to AI, it could learn new signs automatically using ML models.
Could be expanded to support gesture-based smart home control for accessibility.
This build was uploaded as a hackathon project
