Researchers at Cornell University have developed an AI-powered ring called SpellRing that tracks fingerspelling in American Sign Language (ASL) in real time.
SpellRing uses micro-sonar technology to detect hand and finger movements, enabling easier text input into computers and smartphones for ASL users.
The device, worn on the thumb, captures hand and finger movements through a microphone, speaker, and gyroscope, and relies on a deep-learning AI system for accurate prediction of fingerspelled letters.
While SpellRing is a significant advancement, it only tracks fingerspelling and not other aspects of ASL. Future plans include integrating the technology into eyeglasses to capture facial expressions and body movements for a complete ASL translation system.