Region based Brain Computer Interface for a home control application

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...

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Bibliographic Details
Main Authors: Akman Aydin, Eda, Bay, Omer Faruk, Guler, Inan
Format: Conference Proceeding
Language:English
Subjects:
Accuracy
Brain-computer interfaces
Computers
Education
Electroencephalography
Reliability
Smart homes
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Summary: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.
ISSN:1094-687X
2694-0604
DOI:10.1109/EMBC.2015.7318551