P300 BRAIN WAVE DETECTION USING EMOTIV EPOC HEADSET FOR COMMUNICATION AIDS

Abstract

The interface way that enables direct link between an external device and the brain is the Brain-computer interface system. Two systems are presented: offline and online systems. Comparing the performance of the various investigated machine learning systems, within the primary dataset it's found that SVM (4th method) and BLDA classifiers yield the best performance for both participants 'A' and 'B'. Dealing with online system, five participants were subjected to different sessions. Two classification methods were employed to detect the target character: (SVM) and (LDA). The feasibility and capability of the Emotiv Epoc neuroheadset to detect the P300 signals is validated by the results.