AI Ring Translates American Sign Language in Real Time

Developed by Cornell University, the SpellRing is an AI-powered wearable that turns ASL fingerspelling into real-time text, helping make communication easier and more inclusive for Deaf and hard-of-hearing users

AI Ring Translates American Sign Language in Real Time

Cornell University researchers have developed the SpellRing, a small AI-powered ring that translates American Sign Language (ASL) fingerspelling into real-time text. Worn on the thumb, the device uses micro-sonar technology, a microphone, a mini gyroscope, and a speaker to capture subtle hand and finger movements. A deep-learning algorithm processes this data, converting natural signing into text that can be displayed on a smartphone or computer.

Unlike traditional ASL translation tools, which often rely on bulky equipment or force users to adjust their signing, SpellRing is designed for ease and natural movement. Its compact design ensures that communication can flow naturally, without interrupting the signer’s style or speed.

In trials with both new and experienced ASL users, the ring reached an accuracy of 82% to 92%, similar to other streamlined systems. Beyond fingerspelling, the research team envisions future versions interpreting full ASL sentences, further bridging communication gaps between Deaf and hearing communities. With a projected cost of around $30 per unit, the device promises to be an accessible tool for students, educators, and everyday users.

While the technology currently focuses on fingerspelling, the research team sees a broader future. By integrating micro-sonar into eyeglasses, the system could eventually recognize upper body movements and facial expressions—key components of full ASL grammar.

“ASL is more than just hands. It’s a rich visual language involving facial expressions and body movement,” Hyunchul Lim, lead author of the study and a doctoral student in information science noted. “Our long-term goal is to capture that complexity.”

If further developed, SpellRing could mark a major step toward real-time ASL translation, opening new pathways for accessibility, communication, and inclusion.

Source: Cornell Chronicle

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