Region based Brain Computer Interface for a home control application
- Resource Type
- Conference
- Authors
- Akman Aydin, Eda; Bay, Omer Faruk; Guler, Inan
- Source
- 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. :1075-1078 Aug, 2015
- Subject
- Engineered Materials, Dielectrics and Plasmas
Accuracy
Smart homes
Brain-computer interfaces
Electroencephalography
Reliability
Computers
Education
- Language
- ISSN
- 1094-687X
1558-4615
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.