The glove uses a LillyPad Arduino to sample flex sensors, an accelerometer, and gyro into an ADK board that then talks to an Android app that translates sign language and gestures into written text. To improve performance, a neural network is fed gestures manually to compensate for varying hand sizes directly on the handset.