Abstract
Speller had been proved that it's a kind of well interactive manners for brain computer interface (BCI) system. In this study, we proposed a novel steady-state visual evoked potential (SSVEP) BCI speller developed for numerical input. Based on a previous off-line method of SSVEP recognition, a sliding control protocol was used for our real-time spelling task. For ten subjects, on-line experiments of 10 consecutive number inputs were conducted for two different control conditions. In contrast to traditional static protocol of multi-phase SSVEP signal extraction, the average information transmission rate (ITR) of sliding control protocol reached 23.45 bits/min, higher than that of traditional static protocol (19.85 bits/min). The results showed the validity and high-efficiency of sliding control paradigm for a real-time multi-phase SSVEP speller.
Highlights
Over the past few years, brain computer interface (BCI) technology has got rapid increase attention on the development of relevant studies
Speller systems are based on neurophysiological protocols such as event-related potentials (e.g., P300) [8]–[12], event-related desynchronization/synchronization (ERD/ERS) [13]–[17] and steady-state evoked potentials (SSVEPs) [18]–[22]
It was indicated that the longer time of data collecting was useful for improving the efficiency of the online BCI system
Summary
Over the past few years, BCI technology has got rapid increase attention on the development of relevant studies. EEG-based BCI system builds a novel transmission channel between the human brain and external devices by commands control without body movement [1]–[4]. Among these systems, BCI-speller can be considered as one of the first proposed applications and has opened the door for technology improvement in the field [5]–[7]. Speller systems are based on neurophysiological protocols such as event-related potentials (e.g., P300) [8]–[12], event-related desynchronization/synchronization (ERD/ERS) [13]–[17] and steady-state evoked potentials (SSVEPs) [18]–[22]. SSVEP-based BCI devices are largely investigated for real applications
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