A Novel Auditory BCI for Spelling Persian Words
- Resource Type
- Conference
- Authors
- Jalilpour, Shayan; Sardouie, Sepideh Hajipour
- Source
- 2018 25th National and 3rd International Iranian Conference on Biomedical Engineering (ICBME) Biomedical Engineering (ICBME), 2018 25th National and 3rd International Iranian Conference on. :1-5 Nov, 2018
- Subject
- Bioengineering
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Signal Processing and Analysis
Protocols
Electroencephalography
Biomedical engineering
Visualization
Classification algorithms
Computers
Electrical engineering
P300 component
Brain Computer Interface
ERP
Auditory stimuli
P300 speller
- Language
In this paper a novel auditory BCI paradigm based on P300 responses which are generated by auditory stimuli is proposed. In the proposed protocol, stimuli are different from each other and there is no need to repeat each single stimulus. Instead of that, a 30-word list containing different words as stimuli is played for the subject. Each letter is repeated in four different words of the list. Ensemble support vector machine and regularized linear discriminant analysis classifiers are used to evaluate the proposed protocol. The result of the offline classification of the P300 responses of one subject shows we can achieve accuracy and ITR of 88% and 3.51 bit/min for three iterations of the list (twelve repetitions of a letter).