There’s MIT’s X-AR glasses, and then Cornell University’s EchoSpeech. This device is essentially a silent-speech recognition interface that utilizes acoustic-sensing (sonar) and AI to continuously recognize up to 31 silent commands, based on lip as well as mouth movements.
Most importantly, this low-power, wearable interface only needs a few minutes of user training data before it can recognize commands and run on a smartphone. The EchoSpeech prototype can be used to communicate with others through a smartphone where talking is inconvenient or inappropriate. Or, you can pair it with a stylus and use it with design software such as AutoCAD, SketchUp, SolidWorks, etc.
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We’re very excited about this system…because it really pushes the field forward on performance and privacy. It’s small, low-power and privacy-sensitive, which are all important features for deploying new, wearable technologies in the real world,” said Cheng Zhang, assistant professor of information science in the Cornell Ann S. Bowers College of Computing and Information Science.