AWARD YEAR
2017
CATEGORY
Play & Learning
GOALS
Reduced Inequality
KEYWORDS
deaf, mute, sign language
COUNTRY
United States of America
DESIGNED BY
Navid Azodi and Thomas Pryor
WEBSITE
http://www.washington.edu/news/2016/04/12/uw-undergraduate-team-wins-10000-lemelson-mit-student-prize-for-gloves-that-translate-sign-language/
SignAloud
A pair of gloves that translate sign language into text and speech.
SignAloud is a pair of gloves that can recognize hand gestures that correspond to words and phrases in American sign language. Each glove contains sensors that record hand position and movement and send data wirelessly via Bluetooth to a central computer. The computer looks at the gesture data through various sequential statistical regressions, similar to a neural network. If the data match a gesture, then the associated word or phrase is spoken through a speaker.