Evaluation of a P300-based interface for smart home control

Abstract

This paper evaluates a hybrid neurophysiological interface for controlling a virtual smart home. Electrooculography (EOG) and Electroencephalography (EEG) techniques are used for recording biosignals from the user's body. The signals are further analyzed and translated into commands for controlling a virtual smart home. The purpose of the study was the evaluation of the implemented interface and the rejection of a set of possible erroneous commands generated by the interface. From a main menu the user is able to select a mask that will reveal a second menu with supplementary commands. The user has the option to cancel the propagation of an erroneous selected mask in the system by selecting another item from the main menu. © 2012 IFIP International Federation for Information Processing.