title: Region based Brain Computer Interface for a home control application.
abstract: Environment control is one of the important challenges for disabled people who suffer from neuromuscular diseases. Brain Computer Interface (BCI) provides a communication channel between the human brain and the environment without requiring any muscular activation. The most important expectation for a home control application is high accuracy and reliable control. Region-based paradigm is a stimulus paradigm based on oddball principle and requires selection of a target at two levels. This paper presents an application of region based paradigm for a smart home control application for people with neuromuscular diseases. In this study, a region based stimulus interface containing 49 commands was designed. Five non-disabled subjects were attended to the experiments. Offline analysis results of the experiments yielded 95% accuracy for five flashes. This result showed that region based paradigm can be used to select commands of a smart home control application with high accuracy in the low number of repetitions successfully. Furthermore, a statistically significant difference was not observed between the level accuracies.
authors.forename: Eda
authors.initials: E
authors.lastname: Akman Aydin
authors.forename: Omer Faruk
authors.initials: OF
authors.lastname: Bay
authors.forename: Inan
authors.initials: I
authors.lastname: Guler
mesh_terms: D001921:Brain; D062207:Brain-Computer Interfaces; D006233:Persons with Disabilities; D004569:Electroencephalography; D006801:Humans; D014584:User-Computer Interface