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Glove translates sign language in real-time – ’99 percent recognition rate’

• A Daily Express article from last summer. Bioengineers at the University of California have developed a glove that can translate sign language into speech in real-time, using an accompanying smartphone app.
• The glove has thin sensors running to the fingertips, which can detect motions. The smartphone app uses a custom machine learning algorithm to convert the gestures into letters, numbers and words, and can recognise 660 signs. It translates at a speed of one word per second, with an accuracy rate of 98.63%.
• The glove has its critics. Gabrielle Hodge, a deaf researcher at University College London, says: “there is nothing wrong with [sign language as a] form of communication” and that the technology is “redundant”, due to deaf signers already making extensive use of text-to-speech software.

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