We develop machine learning models of affect using touch and biometrics (such as EEG signal, skin conductance, heart rate, etc) to support affective interaction with companion robots for health applications.
The smart fur prototype is a new type of touch sensor built with conductive fur, with the goal of aiding in gesture recognition in the Haptic Creature system.