STAG Glove Learns the Human Touch

May-31-19 An inexpensive sensor-packed glove able to track the human grip could speed improvements in prosthetics and robotic hands.

The Scalable TActile Glove (STAG) glove was developed by a team at MIT as a way to study how the human hand interprets objects by touch. The team fitted a low-cost knitted glove with 550 pressure sensors that capture pressure signals, transmitting the data to a computer where it is translated into a “tactile map” video. That information is then processed by a Convolutional Neural Network to determine the particular pressure patterns for different objects.

The developers believe the STAG glove could be used along with computer vision and image datasets to give robots more tactile intelligence—similar to humans.

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[NEWS.MIT.EDU]

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