2015 · 21 citations · 15 references
EngineeringComputer ScienceNeuroscienceAssistive TechnologyHuman-computer InteractionNeural EngineeringBrain-computer InterfacesElectroencephalogram AnalysisElectroencephalogram Signal ProcessingElectroencephalographyMobile Human-computer InteractionAssistive Communication SystemsBrain-computer Interface ClassificationBrain-computer Interface Signal ProcessingClassification AccuracyElectroencephalography-based Brain-computer InterfacesMobile EegPortable Brain-computer InterfacesPortable Communication Devices
A Brain-computer interface (BCI) is a novel communication system that translates brain signals into a control signal. Now with the appearance of the commercial EEG headsets and mobile smart platforms (tablet, smartphone), it is possible to develop the mobile BCI system, which can greatly improve the life quality of patients suffering from motor disease, such as amyotrophic lateral scleroses (ALS), multiple sclerosis, cerebral palsy and head trauma. This study adopted a 14-channel Emotiv EPOC headset and Microsoft surface pro 3 to realize a dialing system, which was represented by 4×3 matrices of alphanumeric characters. The performance of the online portable dialing system based on P300 is satisfying. The average classification accuracy reaches 88.75±10.57% in lab and 73.75±16.94% in metro, while the information transfer rate (ITR) reaches 7.17±1.80 and 5.05±2.17 bits/min respectively. This means the commercial EEG headset and tablet has good prospect in developing real time BCI system in realistic environments.
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Toward enhanced P300 speller performance
Dean J. Krusienski, Eric W. Sellers, Dennis J. McFarland et al. · Journal of Neuroscience Methods · 2007 · 743 citations · Full text