A Virtual Smart Home Based on EEG Control

Virtual reality (VR) is a new technology which can create a virtual world based on computer system, providing users with a 3D immersive simulation environment. And Brain Computer Interface (BCI) technology makes it possible for users to communicate and interact with devices without any handle, keyboard or mouse. Combining VR and BCI, this paper proposes and designs a novel platform which is called virtual smart home based on electroencephalograph (EEG) control (VSH-EEG). P300 is an event-related potential (ERP), which can be evoked when random stimulus happens. In VSH-EEG system, the paradigm display of P300 is embedded in the virtual smart home. Users' P300 is extracted, processed and classified by self-adaptive Bayes linear discriminant analysis (SA-BLDA) algorithm. Besides, asynchronous BCI paradigm based on P300 can offer an appropriate number of control instructions and enables users to control the appliances in virtual home freely. In order to test the accuracy and effectiveness of the system, 8 subjects are asked to control the relative objects. Finally, the experiment results show that the VSH-EEG system is acceptable and users can enjoy a new way of entertainment.