The smart ring segment has matured significantly over the past couple of years. We have entered the era of miniaturised sensors that are ready for ultrasound-based blood pressure monitoring. The likes of Circular are taking a different dual-sensor approach to measuring blood pressure levels, and are even eyeing glucose trend analysis by next year.
Health sensing, however, has remained the predominant application area for smart rings. Now, experts at Cornell University have developed a smart ring platform that can continuously track American Sign Language in real time, and send it as input to computers and smartphones.
Dubbed the SpellRing, it can recognize the full 26-letter range of the English alphabet pool. Worn on the thumb, this ring comes equipped with a speaker and mic array. Together, they allow the back-and-forth transfer of audio waves generated by hand motion, while a gyroscope measures the angular data.
Accessibility for all
While the idea already sounds like a major accessibility victory, the cost could further boost its adoption. The prototype kit developed by the team comes in at around $30, but they expect it to dip further when it enters mass manufacturing phase.
The 3D-printed ring, which is roughly the size of a quarter coin, relies on a custom deep-learning algorithm to understand the sonar image created by the onboard sensors. During their analysis, volunteers were able to spell out approximately 20,000 words in the English lexicon.
When tested among folks in the early stages of learning ASL, as well as experienced testers, the SpellRing delivered an accuracy of up to 92% at turning the hand signs into text. “ASL is a very complicated, complex visual language,” says Hyunchul Lim, lead author of the paper detailing the SpellRing, adding that they are now focused on tuning the algorithms to understand words and phrases.
Potential that needs time to mature
As per the research paper, this is the first wearable-based device that integrates an inertial sensing system with acoustics to provide real-time ASL fingerspelling convenience. During their tests, the team showcased how it can be used to perform web search on a phone, handle map navigation, and type text in notes.
The team behind SpellRing is not pushing it as a universal solution, at least not in its current shape. Instead, they are promoting the idea of a fast and accessible text entry tool with its own set of benefits.
“Specifically, ASL fingerspelling can be significantly faster than typing on a smartphone’s virtual keyboard,” notes the research paper, which is going to be presented at the Association of Computing Machinery’s conference on Human Factors in Computing Systems conference in Japan next month.
The team is hoping to further build on their work by adding support for gestures and the ability to recognize words as well as phrases. On the hardware side, they are hoping to fit all the key components, including the intertial sensor (which currently is mounted on a separate connected board) on a single unified board.
Subsequently, a curved battery can be fitted into the kit and eventually turn the prototype into something that looks like an off-the-shelf smart ring, similar to those offered by Oura or Samsung. The team also envisions side-by-side development and integration with AR glasses, so that hand gestures can be tracked alongside vision-based interpretation for even more seamless conversations.