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SignAloud: Gloves that Translate Sign Language into Text and Speech

Via Lemelson-MIT Program: “Thomas Pryor and Navid Azodi are undergraduate sophomore students at the University of Washington (UW) studying Aeronautical & Astronautical Engineering and Business Administration, respectively. The two met their freshman year and connected over a shared interest in invention and problem solving.”

  • From the Fact Sheet: “Thomas and Navid developed SignAloud, a pair of gloves that recognizes hand gestures that correspond to words and phrases in American Sign Language , using resources at the University of Washington CoMotion MakerSpace, a place that offers communal tools, equipment, and opportunities for students. Each glove contains sensors that record hand position and movement. As users put on the gloves, the device calibrates to account for differences in sensor placement. Data from the sensors is sent from the gloves wirelessly via Bluetooth to a central computer. The computer looks at the data for gestures through various sequential statistical regressions, similar to a neural network. If the data matches a gesture, then the associated word or phrase is spoken through a speaker.”

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