title: Optimizing the Face Paradigm of BCI System by Modified Mismatch Negative Paradigm.
abstract: Many recent studies have focused on improving the performance of event-related potential (ERP) based brain computer interfaces (BCIs). The use of a face pattern has been shown to obtain high classification accuracies and information transfer rates (ITRs) by evoking discriminative ERPs (N200 and N400) in addition to P300 potentials. Recently, it has been proved that the performance of traditional P300-based BCIs could be improved through a modification of the mismatch pattern. In this paper, a mismatch inverted face pattern (MIF-pattern) was presented to improve the performance of the inverted face pattern (IF-pattern), one of the state of the art patterns used in visual-based BCI systems. Ten subjects attended in this experiment. The result showed that the mismatch inverted face pattern could evoke significantly larger vertex positive potentials (p< 0.05) and N400s (p< 0.05) compared to the inverted face pattern. The classification accuracy (mean accuracy is 99.58%) and ITRs (mean bit rate is 27.88 bit/min) of the mismatch inverted face pattern was significantly higher than that of the inverted face pattern (p< 0.05).
authors: Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology Shanghai, China.
authors: Sijie
authors: S
authors: Zhou
authors: Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology Shanghai, China.
authors: Jing
authors: J
authors: Jin
authors: Brain Embodiment Lab, School of Systems Engineering, University of Reading Reading, UK.
authors: Ian
authors: I
authors: Daly
authors: Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology Shanghai, China.
authors: Xingyu
authors: X
authors: Wang
authors: Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKENWako-shi, Japan; Systems Research Institute PAS, Warsaw and Nicolaus Copernicus University (UMK)Torun, Poland.
authors: Andrzej
authors: A
authors: Cichocki
keywords: N400; P300; brain computer interface; face paradigm; online system