A team of bioengineers at the University of California Los Angeles (UCLA) has developed an electronic contactless glove that is able to convert the gestures into voice speech.
The glove is equipped with electric sensors stretching from a special material that run the entire length of the fingers, tracking their movement. The system is complemented by sensors that can be pasted on the face (between the eyebrows and on one side of the mouth), to also “read” facial expressions, which is part of the American sign language.
The gadget is battery powered and wireless and can transmit information about the movements of the smartphone, where a special app translates sign language at a speed of one word per second. Currently, the system recognizes about 650 characters, including all letters and numbers, thanks to machine learning technology. Then the speaker clearly pronounces the translated word of the language of gesture.
According to the researchers, in a commercial embodiment, the system will have a large vocabulary and will significantly increase the pace of translation.